renaissance-movie-lens_0
[2026-02-05T23:14:46.513Z] Running test renaissance-movie-lens_0 ...
[2026-02-05T23:14:46.513Z] ===============================================
[2026-02-05T23:14:46.513Z] renaissance-movie-lens_0 Start Time: Thu Feb 5 23:14:46 2026 Epoch Time (ms): 1770333286186
[2026-02-05T23:14:46.513Z] variation: NoOptions
[2026-02-05T23:14:46.513Z] JVM_OPTIONS:
[2026-02-05T23:14:46.513Z] { \
[2026-02-05T23:14:46.513Z] echo ""; echo "TEST SETUP:"; \
[2026-02-05T23:14:46.513Z] echo "Nothing to be done for setup."; \
[2026-02-05T23:14:46.513Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17703317572739/renaissance-movie-lens_0"; \
[2026-02-05T23:14:46.513Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17703317572739/renaissance-movie-lens_0"; \
[2026-02-05T23:14:46.513Z] echo ""; echo "TESTING:"; \
[2026-02-05T23:14:46.513Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17703317572739/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-05T23:14:46.513Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17703317572739/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-05T23:14:46.513Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-05T23:14:46.513Z] echo "Nothing to be done for teardown."; \
[2026-02-05T23:14:46.513Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17703317572739/TestTargetResult";
[2026-02-05T23:14:46.513Z]
[2026-02-05T23:14:46.513Z] TEST SETUP:
[2026-02-05T23:14:46.513Z] Nothing to be done for setup.
[2026-02-05T23:14:46.513Z]
[2026-02-05T23:14:46.513Z] TESTING:
[2026-02-05T23:14:47.234Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-05T23:14:47.234Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17703317572739/renaissance-movie-lens_0/launcher-231446-9665681091322977215/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-05T23:14:47.234Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-05T23:14:47.234Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-05T23:14:56.774Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-05T23:15:12.401Z] 23:15:10.072 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-05T23:15:14.754Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-05T23:15:18.019Z] Training: 60056, validation: 20285, test: 19854
[2026-02-05T23:15:18.019Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-05T23:15:18.019Z] GC before operation: completed in 341.639 ms, heap usage 134.981 MB -> 75.693 MB.
[2026-02-05T23:15:33.706Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:15:45.513Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:15:55.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:16:01.659Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:16:05.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:16:10.219Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:16:13.469Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:16:17.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:16:17.750Z] 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.
[2026-02-05T23:16:18.482Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:16:18.482Z] Top recommended movies for user id 72:
[2026-02-05T23:16:18.482Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:16:18.482Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:16:18.482Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:16:18.482Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:16:18.482Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:16:18.482Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (60363.617 ms) ======
[2026-02-05T23:16:18.482Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-05T23:16:19.214Z] GC before operation: completed in 249.583 ms, heap usage 328.394 MB -> 92.030 MB.
[2026-02-05T23:16:25.854Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:16:34.421Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:16:39.817Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:16:46.469Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:16:50.726Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:16:54.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:16:58.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:17:01.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:17:01.570Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T23:17:01.570Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:17:02.303Z] Top recommended movies for user id 72:
[2026-02-05T23:17:02.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:17:02.303Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:17:02.303Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:17:02.303Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:17:02.303Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:17:02.303Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (43127.504 ms) ======
[2026-02-05T23:17:02.303Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-05T23:17:02.303Z] GC before operation: completed in 311.738 ms, heap usage 278.962 MB -> 88.433 MB.
[2026-02-05T23:17:08.932Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:17:15.534Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:17:20.928Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:17:26.765Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:17:30.025Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:17:33.290Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:17:36.559Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:17:39.849Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:17:40.581Z] 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.
[2026-02-05T23:17:40.581Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:17:40.581Z] Top recommended movies for user id 72:
[2026-02-05T23:17:40.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:17:40.581Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:17:40.581Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:17:40.581Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:17:40.581Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:17:40.581Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (38490.857 ms) ======
[2026-02-05T23:17:40.581Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-05T23:17:41.308Z] GC before operation: completed in 340.695 ms, heap usage 482.502 MB -> 89.429 MB.
[2026-02-05T23:17:46.674Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:17:52.005Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:17:57.350Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:18:02.742Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:18:07.026Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:18:09.864Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:18:13.141Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:18:17.400Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:18:17.400Z] 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.
[2026-02-05T23:18:17.400Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:18:17.400Z] Top recommended movies for user id 72:
[2026-02-05T23:18:17.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:18:17.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:18:17.400Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:18:17.400Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:18:17.400Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:18:17.400Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (36417.745 ms) ======
[2026-02-05T23:18:17.400Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-05T23:18:18.126Z] GC before operation: completed in 281.445 ms, heap usage 617.218 MB -> 93.176 MB.
[2026-02-05T23:18:24.694Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:18:31.286Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:18:36.672Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:18:43.243Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:18:46.507Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:18:50.898Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:18:54.181Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:18:58.944Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:18:59.678Z] 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.
[2026-02-05T23:18:59.678Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:18:59.678Z] Top recommended movies for user id 72:
[2026-02-05T23:18:59.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:18:59.678Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:18:59.678Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:18:59.678Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:18:59.678Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:18:59.678Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (42082.968 ms) ======
[2026-02-05T23:18:59.678Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-05T23:19:00.404Z] GC before operation: completed in 320.175 ms, heap usage 174.470 MB -> 89.245 MB.
[2026-02-05T23:19:05.765Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:19:12.456Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:19:17.844Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:19:23.310Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:19:25.655Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:19:30.027Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:19:34.295Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:19:37.566Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:19:37.566Z] 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.
[2026-02-05T23:19:37.566Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:19:38.293Z] Top recommended movies for user id 72:
[2026-02-05T23:19:38.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:19:38.293Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:19:38.293Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:19:38.293Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:19:38.293Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:19:38.293Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (37875.102 ms) ======
[2026-02-05T23:19:38.293Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-05T23:19:38.293Z] GC before operation: completed in 254.937 ms, heap usage 102.754 MB -> 89.381 MB.
[2026-02-05T23:19:44.131Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:19:49.517Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:19:54.910Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:20:00.264Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:20:03.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:20:06.776Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:20:11.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:20:14.308Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:20:15.034Z] 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.
[2026-02-05T23:20:15.034Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:20:15.034Z] Top recommended movies for user id 72:
[2026-02-05T23:20:15.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:20:15.034Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:20:15.034Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:20:15.034Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:20:15.034Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:20:15.034Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (36735.645 ms) ======
[2026-02-05T23:20:15.034Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-05T23:20:15.769Z] GC before operation: completed in 272.976 ms, heap usage 124.810 MB -> 89.462 MB.
[2026-02-05T23:20:21.134Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:20:25.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:20:31.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:20:36.681Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:20:39.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:20:43.209Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:20:46.458Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:20:49.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:20:50.463Z] 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.
[2026-02-05T23:20:50.463Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:20:50.463Z] Top recommended movies for user id 72:
[2026-02-05T23:20:50.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:20:50.463Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:20:50.463Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:20:50.463Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:20:50.463Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:20:50.463Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (35132.691 ms) ======
[2026-02-05T23:20:50.463Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-05T23:20:51.206Z] GC before operation: completed in 331.995 ms, heap usage 286.722 MB -> 89.953 MB.
[2026-02-05T23:20:56.573Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:21:01.921Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:21:07.295Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:21:11.567Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:21:14.413Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:21:17.680Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:21:20.046Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:21:23.309Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:21:23.310Z] 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.
[2026-02-05T23:21:23.310Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:21:24.041Z] Top recommended movies for user id 72:
[2026-02-05T23:21:24.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:21:24.041Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:21:24.041Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:21:24.041Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:21:24.041Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:21:24.041Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (33008.155 ms) ======
[2026-02-05T23:21:24.041Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-05T23:21:24.041Z] GC before operation: completed in 288.577 ms, heap usage 548.366 MB -> 93.380 MB.
[2026-02-05T23:21:29.442Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:21:34.795Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:21:40.220Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:21:44.496Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:21:46.868Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:21:50.168Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:21:53.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:21:57.201Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:21:57.201Z] 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.
[2026-02-05T23:21:57.201Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:21:57.931Z] Top recommended movies for user id 72:
[2026-02-05T23:21:57.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:21:57.931Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:21:57.931Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:21:57.931Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:21:57.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:21:57.931Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (33340.412 ms) ======
[2026-02-05T23:21:57.931Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-05T23:21:57.931Z] GC before operation: completed in 314.062 ms, heap usage 439.824 MB -> 90.240 MB.
[2026-02-05T23:22:03.286Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:22:09.869Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:22:15.271Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:22:19.526Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:22:22.795Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:22:26.133Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:22:29.388Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:22:32.709Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:22:32.709Z] 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.
[2026-02-05T23:22:32.709Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:22:33.453Z] Top recommended movies for user id 72:
[2026-02-05T23:22:33.453Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:22:33.453Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:22:33.453Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:22:33.453Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:22:33.453Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:22:33.453Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (35233.117 ms) ======
[2026-02-05T23:22:33.453Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-05T23:22:33.453Z] GC before operation: completed in 273.577 ms, heap usage 791.370 MB -> 93.684 MB.
[2026-02-05T23:22:38.822Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:22:44.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:22:49.999Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:22:54.276Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:22:56.622Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:22:59.907Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:23:03.149Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:23:05.502Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:23:06.320Z] 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.
[2026-02-05T23:23:06.320Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:23:06.320Z] Top recommended movies for user id 72:
[2026-02-05T23:23:06.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:23:06.320Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:23:06.320Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:23:06.320Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:23:06.320Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:23:06.320Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (32905.147 ms) ======
[2026-02-05T23:23:06.320Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-05T23:23:06.320Z] GC before operation: completed in 284.491 ms, heap usage 180.188 MB -> 89.804 MB.
[2026-02-05T23:23:11.695Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:23:17.073Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:23:22.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:23:26.784Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:23:29.145Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:23:32.407Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:23:34.767Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:23:38.023Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:23:38.753Z] 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.
[2026-02-05T23:23:38.753Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:23:38.753Z] Top recommended movies for user id 72:
[2026-02-05T23:23:38.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:23:38.753Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:23:38.753Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:23:38.753Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:23:38.753Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:23:38.753Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (32190.147 ms) ======
[2026-02-05T23:23:38.753Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-05T23:23:38.753Z] GC before operation: completed in 264.547 ms, heap usage 750.561 MB -> 93.933 MB.
[2026-02-05T23:23:44.140Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:23:51.180Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:23:56.534Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:24:01.916Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:24:06.188Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:24:09.435Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:24:13.673Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:24:16.181Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:24:16.905Z] 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.
[2026-02-05T23:24:16.905Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:24:16.905Z] Top recommended movies for user id 72:
[2026-02-05T23:24:16.905Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:24:16.905Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:24:16.905Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:24:16.905Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:24:16.905Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:24:16.906Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (38183.728 ms) ======
[2026-02-05T23:24:16.906Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-05T23:24:17.631Z] GC before operation: completed in 276.972 ms, heap usage 296.763 MB -> 89.961 MB.
[2026-02-05T23:24:23.141Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:24:27.461Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:24:32.828Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:24:38.149Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:24:40.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:24:43.748Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:24:47.004Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:24:50.249Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:24:50.984Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T23:24:50.984Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:24:50.984Z] Top recommended movies for user id 72:
[2026-02-05T23:24:50.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:24:50.984Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:24:50.984Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:24:50.984Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:24:50.984Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:24:50.984Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (33511.514 ms) ======
[2026-02-05T23:24:50.984Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-05T23:24:50.984Z] GC before operation: completed in 273.353 ms, heap usage 209.043 MB -> 90.053 MB.
[2026-02-05T23:24:56.326Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:25:01.089Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:25:07.644Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:25:11.899Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:25:15.153Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:25:18.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:25:21.674Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:25:25.912Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:25:26.645Z] 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.
[2026-02-05T23:25:26.645Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:25:26.645Z] Top recommended movies for user id 72:
[2026-02-05T23:25:26.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:25:26.645Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:25:26.645Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:25:26.645Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:25:26.645Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:25:26.645Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (35472.685 ms) ======
[2026-02-05T23:25:26.645Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-05T23:25:27.386Z] GC before operation: completed in 290.464 ms, heap usage 280.620 MB -> 89.980 MB.
[2026-02-05T23:25:33.966Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:25:39.328Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:25:45.186Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:25:50.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:25:53.788Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:25:56.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:25:59.364Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:26:01.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:26:02.439Z] 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.
[2026-02-05T23:26:02.439Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:26:02.439Z] Top recommended movies for user id 72:
[2026-02-05T23:26:02.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:26:02.439Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:26:02.439Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:26:02.439Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:26:02.439Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:26:02.439Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (35255.962 ms) ======
[2026-02-05T23:26:02.439Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-05T23:26:02.439Z] GC before operation: completed in 243.644 ms, heap usage 544.541 MB -> 93.779 MB.
[2026-02-05T23:26:07.777Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:26:12.077Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:26:17.422Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:26:21.682Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:26:24.943Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:26:28.437Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:26:31.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:26:35.246Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:26:35.246Z] 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.
[2026-02-05T23:26:35.246Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:26:35.973Z] Top recommended movies for user id 72:
[2026-02-05T23:26:35.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:26:35.973Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:26:35.973Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:26:35.973Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:26:35.973Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:26:35.973Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (33113.787 ms) ======
[2026-02-05T23:26:35.973Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-05T23:26:35.973Z] GC before operation: completed in 273.777 ms, heap usage 215.199 MB -> 89.780 MB.
[2026-02-05T23:26:41.389Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:26:47.982Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:26:54.561Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:26:58.842Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:27:03.086Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:27:06.340Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:27:09.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:27:14.964Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:27:14.964Z] 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.
[2026-02-05T23:27:14.964Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:27:15.703Z] Top recommended movies for user id 72:
[2026-02-05T23:27:15.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:27:15.703Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:27:15.703Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:27:15.703Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:27:15.703Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:27:15.703Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (39557.700 ms) ======
[2026-02-05T23:27:15.703Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-05T23:27:15.703Z] GC before operation: completed in 396.209 ms, heap usage 163.860 MB -> 89.938 MB.
[2026-02-05T23:27:22.752Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T23:27:27.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T23:27:32.468Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T23:27:36.755Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T23:27:40.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T23:27:42.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T23:27:45.644Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T23:27:47.987Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T23:27:47.987Z] 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.
[2026-02-05T23:27:48.718Z] The best model improves the baseline by 14.52%.
[2026-02-05T23:27:48.718Z] Top recommended movies for user id 72:
[2026-02-05T23:27:48.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T23:27:48.718Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T23:27:48.718Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T23:27:48.718Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T23:27:48.718Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T23:27:48.718Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (32734.418 ms) ======
[2026-02-05T23:27:49.453Z] -----------------------------------
[2026-02-05T23:27:49.453Z] renaissance-movie-lens_0_PASSED
[2026-02-05T23:27:49.453Z] -----------------------------------
[2026-02-05T23:27:49.453Z]
[2026-02-05T23:27:49.453Z] TEST TEARDOWN:
[2026-02-05T23:27:49.453Z] Nothing to be done for teardown.
[2026-02-05T23:27:49.453Z] renaissance-movie-lens_0 Finish Time: Thu Feb 5 23:27:49 2026 Epoch Time (ms): 1770334069149