renaissance-movie-lens_0
[2026-04-22T01:10:03.437Z] Running test renaissance-movie-lens_0 ...
[2026-04-22T01:10:03.437Z] ===============================================
[2026-04-22T01:10:03.437Z] renaissance-movie-lens_0 Start Time: Wed Apr 22 01:10:02 2026 Epoch Time (ms): 1776820202621
[2026-04-22T01:10:03.437Z] variation: NoOptions
[2026-04-22T01:10:03.437Z] JVM_OPTIONS:
[2026-04-22T01:10:03.437Z] { \
[2026-04-22T01:10:03.437Z] echo ""; echo "TEST SETUP:"; \
[2026-04-22T01:10:03.437Z] echo "Nothing to be done for setup."; \
[2026-04-22T01:10:03.437Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17768185071720/renaissance-movie-lens_0"; \
[2026-04-22T01:10:03.437Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17768185071720/renaissance-movie-lens_0"; \
[2026-04-22T01:10:03.437Z] echo ""; echo "TESTING:"; \
[2026-04-22T01:10:03.437Z] "/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_17768185071720/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-04-22T01:10:03.437Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17768185071720/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-04-22T01:10:03.437Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-04-22T01:10:03.437Z] echo "Nothing to be done for teardown."; \
[2026-04-22T01:10:03.437Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17768185071720/TestTargetResult";
[2026-04-22T01:10:03.437Z]
[2026-04-22T01:10:03.437Z] TEST SETUP:
[2026-04-22T01:10:03.437Z] Nothing to be done for setup.
[2026-04-22T01:10:03.437Z]
[2026-04-22T01:10:03.437Z] TESTING:
[2026-04-22T01:10:04.400Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-04-22T01:10:04.400Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17768185071720/renaissance-movie-lens_0/launcher-011002-15233548347556157557/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-04-22T01:10:04.400Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-04-22T01:10:04.400Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-04-22T01:10:16.115Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-04-22T01:10:30.075Z] 01:10:29.794 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.
[2026-04-22T01:10:34.534Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-04-22T01:10:35.656Z] Training: 60056, validation: 20285, test: 19854
[2026-04-22T01:10:35.656Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-04-22T01:10:36.629Z] GC before operation: completed in 521.877 ms, heap usage 234.538 MB -> 76.214 MB.
[2026-04-22T01:10:51.622Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:11:02.012Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:11:12.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:11:19.252Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:11:23.486Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:11:27.740Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:11:31.947Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:11:39.123Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:11:39.123Z] 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.
[2026-04-22T01:11:39.123Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:11:39.123Z] Top recommended movies for user id 72:
[2026-04-22T01:11:39.123Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:11:39.123Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:11:39.123Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:11:39.123Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:11:39.123Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:11:39.123Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (60810.566 ms) ======
[2026-04-22T01:11:39.123Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-04-22T01:11:39.123Z] GC before operation: completed in 354.039 ms, heap usage 150.918 MB -> 89.426 MB.
[2026-04-22T01:11:44.086Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:11:51.080Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:11:57.877Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:12:03.331Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:12:06.401Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:12:10.623Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:12:13.684Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:12:17.892Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:12:17.892Z] 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.
[2026-04-22T01:12:17.892Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:12:17.892Z] Top recommended movies for user id 72:
[2026-04-22T01:12:17.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:12:17.892Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:12:17.892Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:12:17.892Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:12:17.892Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:12:17.892Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (40723.110 ms) ======
[2026-04-22T01:12:17.892Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-04-22T01:12:18.868Z] GC before operation: completed in 226.732 ms, heap usage 159.826 MB -> 88.528 MB.
[2026-04-22T01:12:24.326Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:12:30.532Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:12:34.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:12:40.242Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:12:43.297Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:12:46.377Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:12:49.434Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:12:52.508Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:12:52.508Z] 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.
[2026-04-22T01:12:52.508Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:12:52.508Z] Top recommended movies for user id 72:
[2026-04-22T01:12:52.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:12:52.508Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:12:52.508Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:12:52.508Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:12:52.508Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:12:52.508Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (34214.360 ms) ======
[2026-04-22T01:12:52.508Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-04-22T01:12:53.475Z] GC before operation: completed in 236.042 ms, heap usage 440.800 MB -> 89.592 MB.
[2026-04-22T01:12:57.693Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:13:01.926Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:13:07.357Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:13:11.601Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:13:16.371Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:13:19.464Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:13:22.516Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:13:25.588Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:13:26.568Z] 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.
[2026-04-22T01:13:26.568Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:13:26.568Z] Top recommended movies for user id 72:
[2026-04-22T01:13:26.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:13:26.568Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:13:26.568Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:13:26.568Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:13:26.568Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:13:26.568Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (33845.336 ms) ======
[2026-04-22T01:13:26.568Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-04-22T01:13:27.540Z] GC before operation: completed in 317.601 ms, heap usage 432.027 MB -> 89.896 MB.
[2026-04-22T01:13:32.987Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:13:38.423Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:13:42.662Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:13:48.132Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:13:51.186Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:13:54.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:13:57.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:14:00.364Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:14:00.364Z] 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.
[2026-04-22T01:14:00.364Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:14:00.364Z] Top recommended movies for user id 72:
[2026-04-22T01:14:00.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:14:00.364Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:14:00.364Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:14:00.364Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:14:00.364Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:14:00.365Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (33639.922 ms) ======
[2026-04-22T01:14:00.365Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-04-22T01:14:01.343Z] GC before operation: completed in 243.379 ms, heap usage 209.373 MB -> 89.518 MB.
[2026-04-22T01:14:06.248Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:14:11.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:14:16.098Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:14:21.581Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:14:23.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:14:26.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:14:29.720Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:14:32.786Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:14:32.786Z] 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.
[2026-04-22T01:14:32.786Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:14:32.786Z] Top recommended movies for user id 72:
[2026-04-22T01:14:32.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:14:32.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:14:32.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:14:32.786Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:14:32.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:14:32.786Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (31984.272 ms) ======
[2026-04-22T01:14:32.786Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-04-22T01:14:33.752Z] GC before operation: completed in 283.470 ms, heap usage 488.807 MB -> 90.338 MB.
[2026-04-22T01:14:37.952Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:14:42.179Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:14:47.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:14:52.527Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:14:55.724Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:15:00.097Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:15:03.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:15:06.232Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:15:07.195Z] 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.
[2026-04-22T01:15:07.195Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:15:07.195Z] Top recommended movies for user id 72:
[2026-04-22T01:15:07.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:15:07.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:15:07.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:15:07.195Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:15:07.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:15:07.195Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (34051.757 ms) ======
[2026-04-22T01:15:07.195Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-04-22T01:15:07.195Z] GC before operation: completed in 250.950 ms, heap usage 117.789 MB -> 89.676 MB.
[2026-04-22T01:15:13.064Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:15:18.772Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:15:24.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:15:30.136Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:15:34.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:15:37.909Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:15:41.546Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:15:44.664Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:15:44.664Z] 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.
[2026-04-22T01:15:44.664Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:15:45.634Z] Top recommended movies for user id 72:
[2026-04-22T01:15:45.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:15:45.634Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:15:45.635Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:15:45.635Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:15:45.635Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:15:45.635Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (37768.132 ms) ======
[2026-04-22T01:15:45.635Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-04-22T01:15:45.635Z] GC before operation: completed in 228.445 ms, heap usage 420.104 MB -> 90.343 MB.
[2026-04-22T01:15:51.119Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:15:55.325Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:16:00.768Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:16:05.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:16:08.206Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:16:11.269Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:16:13.260Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:16:16.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:16:16.543Z] 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.
[2026-04-22T01:16:17.524Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:16:17.524Z] Top recommended movies for user id 72:
[2026-04-22T01:16:17.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:16:17.524Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:16:17.524Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:16:17.524Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:16:17.524Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:16:17.524Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (31702.664 ms) ======
[2026-04-22T01:16:17.524Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-04-22T01:16:17.524Z] GC before operation: completed in 218.002 ms, heap usage 276.600 MB -> 89.985 MB.
[2026-04-22T01:16:21.922Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:16:27.019Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:16:31.238Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:16:35.593Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:16:38.660Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:16:40.636Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:16:43.846Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:16:45.915Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:16:46.939Z] 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.
[2026-04-22T01:16:46.939Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:16:46.939Z] Top recommended movies for user id 72:
[2026-04-22T01:16:46.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:16:46.940Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:16:46.940Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:16:46.940Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:16:46.940Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:16:46.940Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (29254.608 ms) ======
[2026-04-22T01:16:46.940Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-04-22T01:16:46.940Z] GC before operation: completed in 224.473 ms, heap usage 135.228 MB -> 91.975 MB.
[2026-04-22T01:16:52.750Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:16:57.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:17:01.307Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:17:05.499Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:17:08.577Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:17:10.560Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:17:13.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:17:14.984Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:17:15.953Z] 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.
[2026-04-22T01:17:15.953Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:17:15.953Z] Top recommended movies for user id 72:
[2026-04-22T01:17:15.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:17:15.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:17:15.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:17:15.953Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:17:15.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:17:15.953Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (28879.344 ms) ======
[2026-04-22T01:17:15.953Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-04-22T01:17:15.953Z] GC before operation: completed in 201.993 ms, heap usage 452.388 MB -> 90.163 MB.
[2026-04-22T01:17:20.168Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:17:24.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:17:27.414Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:17:31.609Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:17:33.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:17:35.624Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:17:37.600Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:17:39.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:17:39.574Z] 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.
[2026-04-22T01:17:39.574Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:17:40.537Z] Top recommended movies for user id 72:
[2026-04-22T01:17:40.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:17:40.537Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:17:40.537Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:17:40.537Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:17:40.537Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:17:40.537Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24104.732 ms) ======
[2026-04-22T01:17:40.537Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-04-22T01:17:40.537Z] GC before operation: completed in 220.613 ms, heap usage 210.817 MB -> 90.024 MB.
[2026-04-22T01:17:44.736Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:17:47.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:17:52.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:17:55.639Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:17:58.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:18:00.679Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:18:02.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:18:04.698Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:18:05.658Z] 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.
[2026-04-22T01:18:05.658Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:18:05.658Z] Top recommended movies for user id 72:
[2026-04-22T01:18:05.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:18:05.658Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:18:05.658Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:18:05.658Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:18:05.658Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:18:05.658Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25237.350 ms) ======
[2026-04-22T01:18:05.674Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-04-22T01:18:05.674Z] GC before operation: completed in 199.429 ms, heap usage 500.232 MB -> 90.522 MB.
[2026-04-22T01:18:09.874Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:18:14.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:18:18.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:18:21.364Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:18:23.334Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:18:26.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:18:28.380Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:18:30.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:18:30.355Z] 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.
[2026-04-22T01:18:31.322Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:18:31.323Z] Top recommended movies for user id 72:
[2026-04-22T01:18:31.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:18:31.323Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:18:31.323Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:18:31.323Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:18:31.323Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:18:31.323Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25194.418 ms) ======
[2026-04-22T01:18:31.323Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-04-22T01:18:31.323Z] GC before operation: completed in 273.626 ms, heap usage 350.116 MB -> 90.365 MB.
[2026-04-22T01:18:34.379Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:18:38.564Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:18:42.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:18:46.238Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:18:48.215Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:18:50.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:18:53.269Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:18:55.244Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:18:55.244Z] 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.
[2026-04-22T01:18:55.244Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:18:55.244Z] Top recommended movies for user id 72:
[2026-04-22T01:18:55.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:18:55.244Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:18:55.244Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:18:55.244Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:18:55.244Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:18:55.245Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23924.057 ms) ======
[2026-04-22T01:18:55.245Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-04-22T01:18:55.245Z] GC before operation: completed in 210.627 ms, heap usage 456.321 MB -> 90.516 MB.
[2026-04-22T01:18:59.447Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:19:02.515Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:19:06.721Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:19:09.783Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:19:11.754Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:19:14.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:19:16.776Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:19:18.753Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:19:18.753Z] 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.
[2026-04-22T01:19:18.753Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:19:19.715Z] Top recommended movies for user id 72:
[2026-04-22T01:19:19.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:19:19.715Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:19:19.715Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:19:19.715Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:19:19.715Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:19:19.715Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23830.751 ms) ======
[2026-04-22T01:19:19.715Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-04-22T01:19:19.715Z] GC before operation: completed in 214.261 ms, heap usage 123.125 MB -> 92.876 MB.
[2026-04-22T01:19:22.778Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:19:26.973Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:19:30.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:19:33.654Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:19:35.642Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:19:37.614Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:19:39.597Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:19:41.572Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:19:41.572Z] 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.
[2026-04-22T01:19:41.572Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:19:42.537Z] Top recommended movies for user id 72:
[2026-04-22T01:19:42.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:19:42.537Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:19:42.537Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:19:42.537Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:19:42.537Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:19:42.537Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22567.618 ms) ======
[2026-04-22T01:19:42.537Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-04-22T01:19:42.537Z] GC before operation: completed in 182.803 ms, heap usage 178.041 MB -> 90.157 MB.
[2026-04-22T01:19:45.605Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:19:49.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:19:52.842Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:19:55.895Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:19:58.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:20:00.943Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:20:03.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:20:06.692Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:20:06.692Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-22T01:20:06.692Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:20:07.659Z] Top recommended movies for user id 72:
[2026-04-22T01:20:07.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:20:07.659Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:20:07.659Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:20:07.659Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:20:07.659Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:20:07.659Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24968.984 ms) ======
[2026-04-22T01:20:07.659Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-04-22T01:20:07.659Z] GC before operation: completed in 234.031 ms, heap usage 337.087 MB -> 90.131 MB.
[2026-04-22T01:20:11.869Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:20:15.145Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:20:19.406Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:20:25.239Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:20:27.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:20:30.909Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:20:33.174Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:20:35.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:20:36.137Z] 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.
[2026-04-22T01:20:36.137Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:20:36.137Z] Top recommended movies for user id 72:
[2026-04-22T01:20:36.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:20:36.137Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:20:36.137Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:20:36.137Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:20:36.137Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:20:36.137Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (28787.485 ms) ======
[2026-04-22T01:20:36.137Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-04-22T01:20:36.137Z] GC before operation: completed in 229.007 ms, heap usage 425.398 MB -> 90.440 MB.
[2026-04-22T01:20:40.968Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-22T01:20:45.641Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-22T01:20:51.907Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-22T01:20:56.193Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-22T01:20:58.455Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-22T01:21:01.519Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-22T01:21:04.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-22T01:21:06.301Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-22T01:21:06.301Z] 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.
[2026-04-22T01:21:06.301Z] The best model improves the baseline by 14.52%.
[2026-04-22T01:21:07.284Z] Top recommended movies for user id 72:
[2026-04-22T01:21:07.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-22T01:21:07.284Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-22T01:21:07.284Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-22T01:21:07.284Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-22T01:21:07.284Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-22T01:21:07.284Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (30357.220 ms) ======
[2026-04-22T01:21:08.250Z] -----------------------------------
[2026-04-22T01:21:08.250Z] renaissance-movie-lens_0_PASSED
[2026-04-22T01:21:08.250Z] -----------------------------------
[2026-04-22T01:21:08.250Z]
[2026-04-22T01:21:08.250Z] TEST TEARDOWN:
[2026-04-22T01:21:08.250Z] Nothing to be done for teardown.
[2026-04-22T01:21:08.250Z] renaissance-movie-lens_0 Finish Time: Wed Apr 22 01:21:08 2026 Epoch Time (ms): 1776820868068