renaissance-movie-lens_0
[2026-02-08T20:30:35.058Z] Running test renaissance-movie-lens_0 ...
[2026-02-08T20:30:35.058Z] ===============================================
[2026-02-08T20:30:35.058Z] renaissance-movie-lens_0 Start Time: Sun Feb 8 20:30:34 2026 Epoch Time (ms): 1770582634651
[2026-02-08T20:30:35.058Z] variation: NoOptions
[2026-02-08T20:30:35.058Z] JVM_OPTIONS:
[2026-02-08T20:30:35.058Z] { \
[2026-02-08T20:30:35.058Z] echo ""; echo "TEST SETUP:"; \
[2026-02-08T20:30:35.058Z] echo "Nothing to be done for setup."; \
[2026-02-08T20:30:35.058Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17705813724320/renaissance-movie-lens_0"; \
[2026-02-08T20:30:35.058Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17705813724320/renaissance-movie-lens_0"; \
[2026-02-08T20:30:35.058Z] echo ""; echo "TESTING:"; \
[2026-02-08T20:30:35.058Z] "/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_17705813724320/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-08T20:30:35.058Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17705813724320/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-08T20:30:35.058Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-08T20:30:35.058Z] echo "Nothing to be done for teardown."; \
[2026-02-08T20:30:35.058Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17705813724320/TestTargetResult";
[2026-02-08T20:30:35.058Z]
[2026-02-08T20:30:35.058Z] TEST SETUP:
[2026-02-08T20:30:35.058Z] Nothing to be done for setup.
[2026-02-08T20:30:35.058Z]
[2026-02-08T20:30:35.058Z] TESTING:
[2026-02-08T20:30:36.032Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-08T20:30:36.032Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17705813724320/renaissance-movie-lens_0/launcher-203034-171225024172205464/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-08T20:30:36.032Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-08T20:30:36.032Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-08T20:30:44.294Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-08T20:30:58.113Z] 20:30:57.203 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-08T20:31:02.398Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-08T20:31:03.383Z] Training: 60056, validation: 20285, test: 19854
[2026-02-08T20:31:03.383Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-08T20:31:03.383Z] GC before operation: completed in 224.867 ms, heap usage 141.889 MB -> 75.665 MB.
[2026-02-08T20:31:20.665Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:31:29.852Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:31:38.309Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:31:45.235Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:31:49.586Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:31:53.976Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:31:58.290Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:32:01.394Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:32:02.383Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T20:32:02.383Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:32:02.383Z] Top recommended movies for user id 72:
[2026-02-08T20:32:02.383Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:32:02.383Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:32:02.383Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:32:02.383Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:32:02.383Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:32:02.383Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (59504.030 ms) ======
[2026-02-08T20:32:02.383Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-08T20:32:03.368Z] GC before operation: completed in 341.302 ms, heap usage 120.949 MB -> 88.688 MB.
[2026-02-08T20:32:10.350Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:32:16.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:32:21.862Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:32:26.105Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:32:29.219Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:32:32.319Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:32:35.405Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:32:38.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:32:38.501Z] 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.
[2026-02-08T20:32:38.501Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:32:38.501Z] Top recommended movies for user id 72:
[2026-02-08T20:32:38.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:32:38.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:32:38.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:32:38.501Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:32:38.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:32:38.501Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (35557.558 ms) ======
[2026-02-08T20:32:38.501Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-08T20:32:38.501Z] GC before operation: completed in 211.378 ms, heap usage 429.301 MB -> 88.782 MB.
[2026-02-08T20:32:42.743Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:32:48.229Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:32:52.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:32:56.930Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:32:58.929Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:33:02.018Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:33:05.817Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:33:06.793Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:33:06.793Z] 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.
[2026-02-08T20:33:06.793Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:33:07.754Z] Top recommended movies for user id 72:
[2026-02-08T20:33:07.754Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:33:07.754Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:33:07.754Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:33:07.754Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:33:07.754Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:33:07.754Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (28369.894 ms) ======
[2026-02-08T20:33:07.754Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-08T20:33:07.754Z] GC before operation: completed in 152.333 ms, heap usage 134.592 MB -> 88.970 MB.
[2026-02-08T20:33:12.039Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:33:15.121Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:33:18.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:33:21.269Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:33:24.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:33:25.309Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:33:27.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:33:29.288Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:33:30.260Z] 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.
[2026-02-08T20:33:30.260Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:33:30.260Z] Top recommended movies for user id 72:
[2026-02-08T20:33:30.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:33:30.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:33:30.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:33:30.260Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:33:30.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:33:30.260Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22654.034 ms) ======
[2026-02-08T20:33:30.260Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-08T20:33:30.260Z] GC before operation: completed in 177.204 ms, heap usage 209.757 MB -> 89.370 MB.
[2026-02-08T20:33:34.505Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:33:37.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:33:41.842Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:33:44.928Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:33:47.996Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:33:50.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:33:53.098Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:33:55.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:33:55.183Z] 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.
[2026-02-08T20:33:55.183Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:33:56.170Z] Top recommended movies for user id 72:
[2026-02-08T20:33:56.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:33:56.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:33:56.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:33:56.170Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:33:56.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:33:56.170Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (25512.899 ms) ======
[2026-02-08T20:33:56.170Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-08T20:33:56.170Z] GC before operation: completed in 193.184 ms, heap usage 622.213 MB -> 94.327 MB.
[2026-02-08T20:34:00.405Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:34:03.494Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:34:07.720Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:34:10.802Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:34:12.801Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:34:14.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:34:17.897Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:34:20.979Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:34:20.979Z] 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.
[2026-02-08T20:34:20.979Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:34:20.979Z] Top recommended movies for user id 72:
[2026-02-08T20:34:20.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:34:20.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:34:20.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:34:20.979Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:34:20.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:34:20.979Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25138.295 ms) ======
[2026-02-08T20:34:20.979Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-08T20:34:20.979Z] GC before operation: completed in 260.881 ms, heap usage 238.523 MB -> 89.717 MB.
[2026-02-08T20:34:26.473Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:34:30.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:34:34.953Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:34:38.341Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:34:40.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:34:42.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:34:44.324Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:34:47.412Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:34:47.412Z] 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.
[2026-02-08T20:34:47.412Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:34:47.412Z] Top recommended movies for user id 72:
[2026-02-08T20:34:47.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:34:47.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:34:47.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:34:47.412Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:34:47.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:34:47.412Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (26399.101 ms) ======
[2026-02-08T20:34:47.412Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-08T20:34:48.388Z] GC before operation: completed in 234.337 ms, heap usage 564.793 MB -> 93.368 MB.
[2026-02-08T20:34:53.326Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:34:56.406Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:35:00.637Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:35:04.885Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:35:07.491Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:35:09.489Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:35:12.572Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:35:14.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:35:14.581Z] 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.
[2026-02-08T20:35:14.581Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:35:14.581Z] Top recommended movies for user id 72:
[2026-02-08T20:35:14.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:35:14.581Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:35:14.581Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:35:14.581Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:35:14.581Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:35:14.581Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26931.093 ms) ======
[2026-02-08T20:35:14.581Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-08T20:35:15.548Z] GC before operation: completed in 191.940 ms, heap usage 290.503 MB -> 90.099 MB.
[2026-02-08T20:35:18.618Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:35:21.730Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:35:26.217Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:35:29.423Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:35:31.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:35:34.477Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:35:36.504Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:35:38.510Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:35:39.480Z] 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.
[2026-02-08T20:35:39.480Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:35:39.480Z] Top recommended movies for user id 72:
[2026-02-08T20:35:39.480Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:35:39.480Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:35:39.480Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:35:39.480Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:35:39.480Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:35:39.480Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (24441.759 ms) ======
[2026-02-08T20:35:39.480Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-08T20:35:39.480Z] GC before operation: completed in 319.956 ms, heap usage 101.986 MB -> 92.816 MB.
[2026-02-08T20:35:47.123Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:35:48.126Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:35:51.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:35:55.957Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:35:59.363Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:36:01.364Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:36:03.524Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:36:05.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:36:05.748Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T20:36:05.748Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:36:05.748Z] Top recommended movies for user id 72:
[2026-02-08T20:36:05.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:36:05.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:36:05.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:36:05.748Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:36:05.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:36:05.748Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (26218.885 ms) ======
[2026-02-08T20:36:05.748Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-08T20:36:06.714Z] GC before operation: completed in 197.142 ms, heap usage 480.691 MB -> 90.436 MB.
[2026-02-08T20:36:09.853Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:36:15.696Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:36:21.156Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:36:27.130Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:36:30.235Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:36:33.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:36:36.414Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:36:38.427Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:36:39.405Z] 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.
[2026-02-08T20:36:39.405Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:36:39.405Z] Top recommended movies for user id 72:
[2026-02-08T20:36:39.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:36:39.405Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:36:39.405Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:36:39.405Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:36:39.405Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:36:39.405Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (33294.018 ms) ======
[2026-02-08T20:36:39.405Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-08T20:36:40.479Z] GC before operation: completed in 384.700 ms, heap usage 228.523 MB -> 89.735 MB.
[2026-02-08T20:36:45.600Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:36:49.854Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:36:55.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:36:59.653Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:37:01.673Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:37:03.664Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:37:05.655Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:37:07.693Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:37:07.693Z] 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.
[2026-02-08T20:37:07.693Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:37:07.693Z] Top recommended movies for user id 72:
[2026-02-08T20:37:07.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:37:07.693Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:37:07.693Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:37:07.693Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:37:07.693Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:37:07.693Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (27680.536 ms) ======
[2026-02-08T20:37:07.693Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-08T20:37:07.693Z] GC before operation: completed in 231.998 ms, heap usage 510.063 MB -> 90.413 MB.
[2026-02-08T20:37:11.990Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:37:15.082Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:37:18.164Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:37:20.149Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:37:21.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:37:23.129Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:37:25.199Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:37:27.198Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:37:27.198Z] 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.
[2026-02-08T20:37:27.198Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:37:27.198Z] Top recommended movies for user id 72:
[2026-02-08T20:37:27.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:37:27.198Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:37:27.198Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:37:27.198Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:37:27.198Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:37:27.198Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19276.487 ms) ======
[2026-02-08T20:37:27.198Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-08T20:37:27.198Z] GC before operation: completed in 168.687 ms, heap usage 291.983 MB -> 90.336 MB.
[2026-02-08T20:37:30.269Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:37:33.171Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:37:35.157Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:37:37.146Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:37:39.133Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:37:41.125Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:37:42.095Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:37:44.085Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:37:44.085Z] 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.
[2026-02-08T20:37:44.085Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:37:44.085Z] Top recommended movies for user id 72:
[2026-02-08T20:37:44.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:37:44.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:37:44.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:37:44.085Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:37:44.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:37:44.085Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16960.026 ms) ======
[2026-02-08T20:37:44.086Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-08T20:37:44.086Z] GC before operation: completed in 145.522 ms, heap usage 540.230 MB -> 90.465 MB.
[2026-02-08T20:37:47.161Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:37:50.227Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:37:52.227Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:37:55.323Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:37:57.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:37:58.472Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:38:00.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:38:02.494Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:38:02.494Z] 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.
[2026-02-08T20:38:02.494Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:38:02.494Z] Top recommended movies for user id 72:
[2026-02-08T20:38:02.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:38:02.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:38:02.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:38:02.494Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:38:02.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:38:02.494Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18182.813 ms) ======
[2026-02-08T20:38:02.494Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-08T20:38:02.494Z] GC before operation: completed in 181.073 ms, heap usage 373.831 MB -> 90.437 MB.
[2026-02-08T20:38:05.558Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:38:08.805Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:38:10.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:38:14.280Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:38:15.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:38:18.971Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:38:20.961Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:38:21.928Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:38:22.900Z] 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.
[2026-02-08T20:38:22.901Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:38:22.901Z] Top recommended movies for user id 72:
[2026-02-08T20:38:22.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:38:22.901Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:38:22.901Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:38:22.901Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:38:22.901Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:38:22.901Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19760.905 ms) ======
[2026-02-08T20:38:22.901Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-08T20:38:22.901Z] GC before operation: completed in 525.899 ms, heap usage 414.135 MB -> 90.314 MB.
[2026-02-08T20:38:25.739Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:38:29.293Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:38:31.340Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:38:34.621Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:38:35.723Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:38:37.870Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:38:40.016Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:38:40.981Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:38:40.981Z] 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.
[2026-02-08T20:38:40.981Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:38:41.945Z] Top recommended movies for user id 72:
[2026-02-08T20:38:41.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:38:41.946Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:38:41.946Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:38:41.946Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:38:41.946Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:38:41.946Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18427.231 ms) ======
[2026-02-08T20:38:41.946Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-08T20:38:41.946Z] GC before operation: completed in 144.166 ms, heap usage 297.322 MB -> 90.281 MB.
[2026-02-08T20:38:43.928Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:38:46.990Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:38:50.048Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:38:53.119Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:38:55.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:38:57.153Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:38:58.121Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:39:00.112Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:39:01.081Z] 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.
[2026-02-08T20:39:01.081Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:39:01.081Z] Top recommended movies for user id 72:
[2026-02-08T20:39:01.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:39:01.081Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:39:01.081Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:39:01.081Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:39:01.081Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:39:01.081Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19113.472 ms) ======
[2026-02-08T20:39:01.081Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-08T20:39:01.081Z] GC before operation: completed in 295.683 ms, heap usage 204.085 MB -> 90.035 MB.
[2026-02-08T20:39:04.141Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:39:06.131Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:39:09.188Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:39:11.170Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:39:13.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:39:14.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:39:15.560Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:39:17.552Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:39:17.552Z] 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.
[2026-02-08T20:39:17.552Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:39:17.552Z] Top recommended movies for user id 72:
[2026-02-08T20:39:17.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:39:17.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:39:17.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:39:17.552Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:39:17.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:39:17.552Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16499.090 ms) ======
[2026-02-08T20:39:17.552Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-08T20:39:17.552Z] GC before operation: completed in 136.413 ms, heap usage 196.928 MB -> 90.059 MB.
[2026-02-08T20:39:20.629Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:39:22.649Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:39:25.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:39:27.708Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:39:29.705Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:39:31.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:39:33.878Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:39:35.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:39:35.864Z] 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.
[2026-02-08T20:39:35.864Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:39:35.864Z] Top recommended movies for user id 72:
[2026-02-08T20:39:35.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:39:35.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:39:35.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:39:35.864Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:39:35.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:39:35.864Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17946.525 ms) ======
[2026-02-08T20:39:37.009Z] -----------------------------------
[2026-02-08T20:39:37.009Z] renaissance-movie-lens_0_PASSED
[2026-02-08T20:39:37.009Z] -----------------------------------
[2026-02-08T20:39:37.009Z]
[2026-02-08T20:39:37.009Z] TEST TEARDOWN:
[2026-02-08T20:39:37.009Z] Nothing to be done for teardown.
[2026-02-08T20:39:37.009Z] renaissance-movie-lens_0 Finish Time: Sun Feb 8 20:39:36 2026 Epoch Time (ms): 1770583176072