renaissance-movie-lens_0
[2026-02-20T08:35:54.093Z] Running test renaissance-movie-lens_0 ...
[2026-02-20T08:35:54.093Z] ===============================================
[2026-02-20T08:35:54.093Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 08:35:53 2026 Epoch Time (ms): 1771576553091
[2026-02-20T08:35:54.093Z] variation: NoOptions
[2026-02-20T08:35:54.093Z] JVM_OPTIONS:
[2026-02-20T08:35:54.093Z] { \
[2026-02-20T08:35:54.093Z] echo ""; echo "TEST SETUP:"; \
[2026-02-20T08:35:54.093Z] echo "Nothing to be done for setup."; \
[2026-02-20T08:35:54.093Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17715756506816/renaissance-movie-lens_0"; \
[2026-02-20T08:35:54.093Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17715756506816/renaissance-movie-lens_0"; \
[2026-02-20T08:35:54.093Z] echo ""; echo "TESTING:"; \
[2026-02-20T08:35:54.093Z] "/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_17715756506816/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-20T08:35:54.093Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17715756506816/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-20T08:35:54.093Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-20T08:35:54.093Z] echo "Nothing to be done for teardown."; \
[2026-02-20T08:35:54.093Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17715756506816/TestTargetResult";
[2026-02-20T08:35:54.093Z]
[2026-02-20T08:35:54.093Z] TEST SETUP:
[2026-02-20T08:35:54.093Z] Nothing to be done for setup.
[2026-02-20T08:35:54.093Z]
[2026-02-20T08:35:54.093Z] TESTING:
[2026-02-20T08:35:54.093Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-20T08:35:54.093Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17715756506816/renaissance-movie-lens_0/launcher-083553-13216911560001821585/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-20T08:35:54.093Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-20T08:35:54.093Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-20T08:36:01.050Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-20T08:36:11.210Z] 08:36:09.523 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-20T08:36:12.207Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-20T08:36:12.207Z] Training: 60056, validation: 20285, test: 19854
[2026-02-20T08:36:12.207Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-20T08:36:12.207Z] GC before operation: completed in 103.100 ms, heap usage 232.563 MB -> 75.612 MB.
[2026-02-20T08:36:19.198Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:36:23.704Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:36:26.874Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:36:30.027Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:36:33.165Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:36:34.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:36:36.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:36:38.268Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:36:38.268Z] 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.
[2026-02-20T08:36:38.268Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:36:39.262Z] Top recommended movies for user id 72:
[2026-02-20T08:36:39.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:36:39.262Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:36:39.262Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:36:39.262Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:36:39.262Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:36:39.262Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26359.118 ms) ======
[2026-02-20T08:36:39.262Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-20T08:36:39.262Z] GC before operation: completed in 160.685 ms, heap usage 104.905 MB -> 87.459 MB.
[2026-02-20T08:36:42.405Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:36:45.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:36:48.686Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:36:50.719Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:36:52.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:36:54.799Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:36:56.832Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:36:58.867Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:36:58.867Z] 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.
[2026-02-20T08:36:58.867Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:36:58.867Z] Top recommended movies for user id 72:
[2026-02-20T08:36:58.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:36:58.868Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:36:58.868Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:36:58.868Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:36:58.868Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:36:58.868Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19901.890 ms) ======
[2026-02-20T08:36:58.868Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-20T08:36:58.868Z] GC before operation: completed in 151.154 ms, heap usage 369.124 MB -> 88.650 MB.
[2026-02-20T08:37:01.996Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:37:05.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:37:07.893Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:37:09.929Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:37:11.959Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:37:13.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:37:14.986Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:37:17.018Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:37:17.018Z] 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.
[2026-02-20T08:37:17.018Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:37:17.018Z] Top recommended movies for user id 72:
[2026-02-20T08:37:17.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:37:17.018Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:37:17.018Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:37:17.018Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:37:17.018Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:37:17.018Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17795.339 ms) ======
[2026-02-20T08:37:17.018Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-20T08:37:17.018Z] GC before operation: completed in 136.995 ms, heap usage 503.792 MB -> 89.537 MB.
[2026-02-20T08:37:20.164Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:37:22.192Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:37:25.325Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:37:27.359Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:37:29.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:37:30.381Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:37:32.409Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:37:33.400Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:37:34.388Z] 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.
[2026-02-20T08:37:34.388Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:37:34.388Z] Top recommended movies for user id 72:
[2026-02-20T08:37:34.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:37:34.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:37:34.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:37:34.388Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:37:34.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:37:34.388Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16998.257 ms) ======
[2026-02-20T08:37:34.388Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-20T08:37:34.388Z] GC before operation: completed in 150.244 ms, heap usage 489.738 MB -> 89.833 MB.
[2026-02-20T08:37:36.423Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:37:39.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:37:42.725Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:37:44.756Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:37:46.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:37:47.809Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:37:49.834Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:37:50.840Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:37:51.828Z] 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.
[2026-02-20T08:37:51.828Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:37:51.828Z] Top recommended movies for user id 72:
[2026-02-20T08:37:51.828Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:37:51.828Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:37:51.828Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:37:51.828Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:37:51.828Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:37:51.828Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17254.578 ms) ======
[2026-02-20T08:37:51.828Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-20T08:37:51.829Z] GC before operation: completed in 153.987 ms, heap usage 366.209 MB -> 89.526 MB.
[2026-02-20T08:37:54.953Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:37:56.978Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:38:00.107Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:38:02.608Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:38:03.606Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:38:04.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:38:06.679Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:38:07.668Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:38:07.669Z] 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.
[2026-02-20T08:38:07.669Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:38:07.669Z] Top recommended movies for user id 72:
[2026-02-20T08:38:07.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:38:07.669Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:38:07.669Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:38:07.669Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:38:07.669Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:38:07.669Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16357.212 ms) ======
[2026-02-20T08:38:07.669Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-20T08:38:08.660Z] GC before operation: completed in 139.630 ms, heap usage 260.820 MB -> 89.789 MB.
[2026-02-20T08:38:10.687Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:38:12.745Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:38:15.875Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:38:17.947Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:38:19.979Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:38:20.965Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:38:21.957Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:38:24.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:38:24.093Z] 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.
[2026-02-20T08:38:24.093Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:38:24.093Z] Top recommended movies for user id 72:
[2026-02-20T08:38:24.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:38:24.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:38:24.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:38:24.093Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:38:24.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:38:24.093Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16019.369 ms) ======
[2026-02-20T08:38:24.093Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-20T08:38:24.093Z] GC before operation: completed in 147.423 ms, heap usage 356.985 MB -> 89.831 MB.
[2026-02-20T08:38:27.223Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:38:29.258Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:38:31.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:38:34.424Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:38:35.413Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:38:36.406Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:38:38.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:38:39.438Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:38:40.426Z] 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.
[2026-02-20T08:38:40.426Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:38:40.427Z] Top recommended movies for user id 72:
[2026-02-20T08:38:40.427Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:38:40.427Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:38:40.427Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:38:40.427Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:38:40.427Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:38:40.427Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15746.893 ms) ======
[2026-02-20T08:38:40.427Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-20T08:38:40.427Z] GC before operation: completed in 147.890 ms, heap usage 99.185 MB -> 89.942 MB.
[2026-02-20T08:38:42.465Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:38:45.603Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:38:47.632Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:38:49.664Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:38:50.656Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:38:52.689Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:38:53.687Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:38:56.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:38:56.467Z] 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.
[2026-02-20T08:38:56.467Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:38:56.467Z] Top recommended movies for user id 72:
[2026-02-20T08:38:56.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:38:56.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:38:56.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:38:56.467Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:38:56.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:38:56.467Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15637.585 ms) ======
[2026-02-20T08:38:56.467Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-20T08:38:56.467Z] GC before operation: completed in 134.632 ms, heap usage 131.327 MB -> 89.720 MB.
[2026-02-20T08:38:58.501Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:39:00.537Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:39:03.671Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:39:05.702Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:39:07.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:39:08.729Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:39:10.788Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:39:11.791Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:39:11.791Z] 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.
[2026-02-20T08:39:11.791Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:39:12.778Z] Top recommended movies for user id 72:
[2026-02-20T08:39:12.778Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:39:12.778Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:39:12.778Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:39:12.778Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:39:12.778Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:39:12.778Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16315.257 ms) ======
[2026-02-20T08:39:12.778Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-20T08:39:12.778Z] GC before operation: completed in 149.351 ms, heap usage 356.960 MB -> 90.102 MB.
[2026-02-20T08:39:14.812Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:39:17.949Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:39:20.027Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:39:22.061Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:39:24.105Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:39:25.091Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:39:27.151Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:39:28.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:39:28.146Z] 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.
[2026-02-20T08:39:28.146Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:39:28.146Z] Top recommended movies for user id 72:
[2026-02-20T08:39:28.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:39:28.146Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:39:28.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:39:28.146Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:39:28.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:39:28.146Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16072.564 ms) ======
[2026-02-20T08:39:28.146Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-20T08:39:29.139Z] GC before operation: completed in 162.441 ms, heap usage 474.614 MB -> 90.033 MB.
[2026-02-20T08:39:31.174Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:39:33.205Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:39:36.356Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:39:38.384Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:39:39.375Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:39:43.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:39:44.119Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:39:44.119Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:39:44.119Z] 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.
[2026-02-20T08:39:44.119Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:39:44.119Z] Top recommended movies for user id 72:
[2026-02-20T08:39:44.119Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:39:44.119Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:39:44.119Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:39:44.119Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:39:44.119Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:39:44.119Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15168.409 ms) ======
[2026-02-20T08:39:44.119Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-20T08:39:44.119Z] GC before operation: completed in 136.052 ms, heap usage 207.834 MB -> 89.802 MB.
[2026-02-20T08:39:46.150Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:39:48.180Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:39:50.213Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:39:52.256Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:39:53.985Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:39:54.975Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:39:57.012Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:39:57.999Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:39:57.999Z] 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.
[2026-02-20T08:39:57.999Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:39:57.999Z] Top recommended movies for user id 72:
[2026-02-20T08:39:57.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:39:57.999Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:39:57.999Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:39:57.999Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:39:57.999Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:39:57.999Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14241.081 ms) ======
[2026-02-20T08:39:57.999Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-20T08:39:57.999Z] GC before operation: completed in 152.421 ms, heap usage 525.036 MB -> 93.758 MB.
[2026-02-20T08:40:01.130Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:40:03.262Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:40:05.292Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:40:07.378Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:40:08.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:40:10.392Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:40:11.381Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:40:12.373Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:40:12.373Z] 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.
[2026-02-20T08:40:12.373Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:40:12.373Z] Top recommended movies for user id 72:
[2026-02-20T08:40:12.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:40:12.373Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:40:12.373Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:40:12.373Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:40:12.373Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:40:12.373Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14207.051 ms) ======
[2026-02-20T08:40:12.373Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-20T08:40:12.373Z] GC before operation: completed in 149.829 ms, heap usage 171.624 MB -> 89.784 MB.
[2026-02-20T08:40:15.501Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:40:17.527Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:40:19.556Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:40:21.667Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:40:22.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:40:24.710Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:40:25.697Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:40:26.684Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:40:27.667Z] 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.
[2026-02-20T08:40:27.667Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:40:27.667Z] Top recommended movies for user id 72:
[2026-02-20T08:40:27.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:40:27.667Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:40:27.667Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:40:27.667Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:40:27.667Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:40:27.667Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14614.921 ms) ======
[2026-02-20T08:40:27.667Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-20T08:40:27.667Z] GC before operation: completed in 133.981 ms, heap usage 107.204 MB -> 93.701 MB.
[2026-02-20T08:40:29.691Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:40:31.902Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:40:35.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:40:37.063Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:40:38.053Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:40:39.039Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:40:41.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:40:42.248Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:40:42.248Z] 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.
[2026-02-20T08:40:42.248Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:40:42.248Z] Top recommended movies for user id 72:
[2026-02-20T08:40:42.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:40:42.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:40:42.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:40:42.248Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:40:42.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:40:42.248Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15045.764 ms) ======
[2026-02-20T08:40:42.248Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-20T08:40:42.248Z] GC before operation: completed in 143.692 ms, heap usage 126.307 MB -> 89.686 MB.
[2026-02-20T08:40:45.381Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:40:47.408Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:40:50.176Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:40:52.200Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:40:53.383Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:40:54.370Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:40:56.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:40:57.388Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:40:57.388Z] 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.
[2026-02-20T08:40:57.388Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:40:57.388Z] Top recommended movies for user id 72:
[2026-02-20T08:40:57.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:40:57.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:40:57.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:40:57.388Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:40:57.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:40:57.388Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15097.897 ms) ======
[2026-02-20T08:40:57.388Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-20T08:40:58.378Z] GC before operation: completed in 127.293 ms, heap usage 122.822 MB -> 92.555 MB.
[2026-02-20T08:41:00.412Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:41:02.443Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:41:04.473Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:41:06.508Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:41:08.540Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:41:09.528Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:41:10.520Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:41:12.546Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:41:12.546Z] 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.
[2026-02-20T08:41:12.546Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:41:12.546Z] Top recommended movies for user id 72:
[2026-02-20T08:41:12.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:41:12.546Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:41:12.546Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:41:12.546Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:41:12.546Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:41:12.546Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14697.128 ms) ======
[2026-02-20T08:41:12.546Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-20T08:41:12.546Z] GC before operation: completed in 128.414 ms, heap usage 120.269 MB -> 89.649 MB.
[2026-02-20T08:41:15.683Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:41:17.710Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:41:19.745Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:41:21.770Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:41:22.866Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:41:23.859Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:41:25.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:41:26.875Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:41:26.875Z] 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.
[2026-02-20T08:41:26.875Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:41:26.875Z] Top recommended movies for user id 72:
[2026-02-20T08:41:26.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:41:26.875Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:41:26.875Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:41:26.875Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:41:26.875Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:41:26.875Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14164.441 ms) ======
[2026-02-20T08:41:26.875Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-20T08:41:26.875Z] GC before operation: completed in 143.621 ms, heap usage 190.240 MB -> 89.908 MB.
[2026-02-20T08:41:28.903Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:41:30.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:41:32.965Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:41:34.994Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:41:35.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:41:38.016Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:41:39.004Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:41:39.990Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:41:39.990Z] 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.
[2026-02-20T08:41:39.990Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:41:39.990Z] Top recommended movies for user id 72:
[2026-02-20T08:41:39.990Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:41:39.990Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:41:39.990Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:41:39.990Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:41:39.990Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:41:39.990Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13295.261 ms) ======
[2026-02-20T08:41:40.975Z] -----------------------------------
[2026-02-20T08:41:40.975Z] renaissance-movie-lens_0_PASSED
[2026-02-20T08:41:40.975Z] -----------------------------------
[2026-02-20T08:41:40.975Z]
[2026-02-20T08:41:40.975Z] TEST TEARDOWN:
[2026-02-20T08:41:40.975Z] Nothing to be done for teardown.
[2026-02-20T08:41:40.975Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 08:41:40 2026 Epoch Time (ms): 1771576900481