renaissance-movie-lens_0
[2026-01-24T13:48:00.409Z] Running test renaissance-movie-lens_0 ...
[2026-01-24T13:48:00.409Z] ===============================================
[2026-01-24T13:48:00.409Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 13:48:00 2026 Epoch Time (ms): 1769262480201
[2026-01-24T13:48:00.409Z] variation: NoOptions
[2026-01-24T13:48:00.409Z] JVM_OPTIONS:
[2026-01-24T13:48:00.409Z] { \
[2026-01-24T13:48:00.409Z] echo ""; echo "TEST SETUP:"; \
[2026-01-24T13:48:00.409Z] echo "Nothing to be done for setup."; \
[2026-01-24T13:48:00.409Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17692608374358/renaissance-movie-lens_0"; \
[2026-01-24T13:48:00.409Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17692608374358/renaissance-movie-lens_0"; \
[2026-01-24T13:48:00.409Z] echo ""; echo "TESTING:"; \
[2026-01-24T13:48:00.410Z] "/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_17692608374358/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-24T13:48:00.410Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17692608374358/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-24T13:48:00.410Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-24T13:48:00.410Z] echo "Nothing to be done for teardown."; \
[2026-01-24T13:48:00.410Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17692608374358/TestTargetResult";
[2026-01-24T13:48:00.410Z]
[2026-01-24T13:48:00.410Z] TEST SETUP:
[2026-01-24T13:48:00.410Z] Nothing to be done for setup.
[2026-01-24T13:48:00.410Z]
[2026-01-24T13:48:00.410Z] TESTING:
[2026-01-24T13:48:02.381Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-24T13:48:02.381Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17692608374358/renaissance-movie-lens_0/launcher-134800-3611302536233417800/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-24T13:48:02.382Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-24T13:48:02.382Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-24T13:48:12.308Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-24T13:48:30.788Z] 13:48:30.599 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.
[2026-01-24T13:48:36.250Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-24T13:48:38.233Z] Training: 60056, validation: 20285, test: 19854
[2026-01-24T13:48:38.233Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-24T13:48:38.233Z] GC before operation: completed in 304.249 ms, heap usage 226.265 MB -> 75.783 MB.
[2026-01-24T13:48:55.351Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:49:07.029Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:49:16.913Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:49:25.227Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:49:29.572Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:49:33.877Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:49:38.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:49:42.804Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:49:43.782Z] 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.
[2026-01-24T13:49:43.782Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:49:43.782Z] Top recommended movies for user id 72:
[2026-01-24T13:49:43.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:49:43.782Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:49:43.782Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:49:43.782Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:49:43.782Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:49:43.782Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (65942.621 ms) ======
[2026-01-24T13:49:43.782Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-24T13:49:44.762Z] GC before operation: completed in 312.313 ms, heap usage 392.540 MB -> 88.355 MB.
[2026-01-24T13:49:51.627Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:49:59.123Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:50:05.923Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:50:11.350Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:50:15.553Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:50:21.067Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:50:26.601Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:50:29.661Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:50:30.621Z] 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.
[2026-01-24T13:50:30.621Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:50:30.621Z] Top recommended movies for user id 72:
[2026-01-24T13:50:30.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:50:30.621Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:50:30.621Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:50:30.621Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:50:30.621Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:50:30.621Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (46663.445 ms) ======
[2026-01-24T13:50:30.621Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-24T13:50:31.586Z] GC before operation: completed in 268.723 ms, heap usage 305.554 MB -> 88.636 MB.
[2026-01-24T13:50:37.022Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:50:42.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:50:46.860Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:50:53.042Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:50:55.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:50:58.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:51:00.026Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:51:03.075Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:51:03.075Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T13:51:03.075Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:51:03.075Z] Top recommended movies for user id 72:
[2026-01-24T13:51:03.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:51:03.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:51:03.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:51:03.075Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:51:03.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:51:03.075Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (32132.821 ms) ======
[2026-01-24T13:51:03.075Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-24T13:51:04.038Z] GC before operation: completed in 213.800 ms, heap usage 206.926 MB -> 89.153 MB.
[2026-01-24T13:51:08.225Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:51:12.406Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:51:16.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:51:19.646Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:51:22.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:51:25.735Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:51:28.774Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:51:30.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:51:30.750Z] 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.
[2026-01-24T13:51:30.750Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:51:31.745Z] Top recommended movies for user id 72:
[2026-01-24T13:51:31.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:51:31.745Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:51:31.745Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:51:31.745Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:51:31.745Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:51:31.745Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27729.756 ms) ======
[2026-01-24T13:51:31.745Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-24T13:51:31.745Z] GC before operation: completed in 245.570 ms, heap usage 275.497 MB -> 89.557 MB.
[2026-01-24T13:51:35.950Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:51:41.400Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:51:46.814Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:51:50.694Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:51:53.743Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:51:56.809Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:51:59.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:52:02.897Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:52:02.897Z] 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.
[2026-01-24T13:52:03.878Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:52:03.878Z] Top recommended movies for user id 72:
[2026-01-24T13:52:03.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:52:03.878Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:52:03.878Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:52:03.878Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:52:03.878Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:52:03.878Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (32071.806 ms) ======
[2026-01-24T13:52:03.878Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-24T13:52:03.878Z] GC before operation: completed in 244.820 ms, heap usage 356.107 MB -> 89.681 MB.
[2026-01-24T13:52:09.302Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:52:12.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:52:16.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:52:19.539Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:52:20.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:52:22.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:52:25.540Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:52:26.499Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:52:27.456Z] 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.
[2026-01-24T13:52:27.456Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:52:27.456Z] Top recommended movies for user id 72:
[2026-01-24T13:52:27.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:52:27.456Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:52:27.456Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:52:27.456Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:52:27.456Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:52:27.456Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23299.358 ms) ======
[2026-01-24T13:52:27.456Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-24T13:52:27.456Z] GC before operation: completed in 167.844 ms, heap usage 427.103 MB -> 90.253 MB.
[2026-01-24T13:52:32.674Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:52:34.648Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:52:38.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:52:41.908Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:52:43.583Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:52:45.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:52:47.516Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:52:50.705Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:52:50.705Z] 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.
[2026-01-24T13:52:50.705Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:52:50.705Z] Top recommended movies for user id 72:
[2026-01-24T13:52:50.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:52:50.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:52:50.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:52:50.705Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:52:50.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:52:50.705Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23585.815 ms) ======
[2026-01-24T13:52:50.705Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-24T13:52:51.671Z] GC before operation: completed in 226.357 ms, heap usage 378.549 MB -> 89.988 MB.
[2026-01-24T13:52:57.097Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:53:01.315Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:53:05.515Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:53:08.559Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:53:10.529Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:53:12.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:53:16.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:53:19.919Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:53:19.919Z] 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.
[2026-01-24T13:53:19.919Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:53:19.919Z] Top recommended movies for user id 72:
[2026-01-24T13:53:19.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:53:19.919Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:53:19.919Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:53:19.919Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:53:19.919Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:53:19.919Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (29053.101 ms) ======
[2026-01-24T13:53:19.919Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-24T13:53:21.120Z] GC before operation: completed in 264.122 ms, heap usage 466.288 MB -> 90.368 MB.
[2026-01-24T13:53:26.817Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:53:32.313Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:53:38.094Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:53:43.022Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:53:47.348Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:53:51.662Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:53:54.581Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:53:56.615Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:53:56.615Z] 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.
[2026-01-24T13:53:57.580Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:53:57.580Z] Top recommended movies for user id 72:
[2026-01-24T13:53:57.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:53:57.580Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:53:57.580Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:53:57.580Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:53:57.580Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:53:57.580Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (37085.971 ms) ======
[2026-01-24T13:53:57.580Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-24T13:53:57.580Z] GC before operation: completed in 276.896 ms, heap usage 373.310 MB -> 90.020 MB.
[2026-01-24T13:54:04.353Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:54:09.789Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:54:14.957Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:54:22.582Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:54:24.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:54:32.812Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:54:32.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:54:35.892Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:54:35.892Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T13:54:35.892Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:54:35.892Z] Top recommended movies for user id 72:
[2026-01-24T13:54:35.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:54:35.892Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:54:35.892Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:54:35.892Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:54:35.892Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:54:35.892Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (38272.679 ms) ======
[2026-01-24T13:54:35.892Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-24T13:54:36.855Z] GC before operation: completed in 408.591 ms, heap usage 149.989 MB -> 90.012 MB.
[2026-01-24T13:54:42.329Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:54:51.321Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:54:54.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:55:08.544Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:55:08.544Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:55:08.544Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:55:22.169Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:55:22.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:55:22.170Z] 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.
[2026-01-24T13:55:22.170Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:55:22.170Z] Top recommended movies for user id 72:
[2026-01-24T13:55:22.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:55:22.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:55:22.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:55:22.170Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:55:22.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:55:22.170Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (34222.563 ms) ======
[2026-01-24T13:55:22.170Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-24T13:55:22.170Z] GC before operation: completed in 326.249 ms, heap usage 161.438 MB -> 91.973 MB.
[2026-01-24T13:55:22.170Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:55:22.170Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:55:35.333Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:55:35.333Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:55:35.333Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:55:45.964Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:55:45.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:55:45.964Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:55:45.964Z] 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.
[2026-01-24T13:55:45.964Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:55:45.964Z] Top recommended movies for user id 72:
[2026-01-24T13:55:45.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:55:45.964Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:55:45.964Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:55:45.964Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:55:45.964Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:55:45.964Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (29901.663 ms) ======
[2026-01-24T13:55:45.964Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-24T13:55:45.964Z] GC before operation: completed in 277.156 ms, heap usage 785.697 MB -> 94.207 MB.
[2026-01-24T13:55:45.964Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:55:50.452Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:55:55.883Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:55:58.952Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:56:02.015Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:56:05.096Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:56:08.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:56:11.218Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:56:12.188Z] 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.
[2026-01-24T13:56:12.188Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:56:12.188Z] Top recommended movies for user id 72:
[2026-01-24T13:56:12.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:56:12.188Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:56:12.188Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:56:12.188Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:56:12.188Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:56:12.188Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (31102.776 ms) ======
[2026-01-24T13:56:12.188Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-24T13:56:13.159Z] GC before operation: completed in 276.773 ms, heap usage 316.078 MB -> 90.141 MB.
[2026-01-24T13:56:17.418Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:56:21.602Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:56:25.805Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:56:30.027Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:56:33.450Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:56:35.436Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:56:38.510Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:56:41.561Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:56:41.561Z] 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.
[2026-01-24T13:56:41.561Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:56:41.561Z] Top recommended movies for user id 72:
[2026-01-24T13:56:41.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:56:41.561Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:56:41.561Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:56:41.561Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:56:41.561Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:56:41.561Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (29149.302 ms) ======
[2026-01-24T13:56:41.561Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-24T13:56:42.529Z] GC before operation: completed in 218.450 ms, heap usage 273.392 MB -> 89.945 MB.
[2026-01-24T13:56:46.793Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:56:51.042Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:56:55.252Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:57:00.721Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:57:02.682Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:57:06.947Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:57:09.993Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:57:13.074Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:57:13.074Z] 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.
[2026-01-24T13:57:13.074Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:57:14.040Z] Top recommended movies for user id 72:
[2026-01-24T13:57:14.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:57:14.040Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:57:14.040Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:57:14.040Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:57:14.040Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:57:14.040Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (31488.432 ms) ======
[2026-01-24T13:57:14.040Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-24T13:57:14.040Z] GC before operation: completed in 284.385 ms, heap usage 365.610 MB -> 90.340 MB.
[2026-01-24T13:57:19.463Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:57:23.676Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:57:27.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:57:31.699Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:57:34.769Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:57:37.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:57:39.777Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:57:41.738Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:57:41.738Z] 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.
[2026-01-24T13:57:41.738Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:57:41.738Z] Top recommended movies for user id 72:
[2026-01-24T13:57:41.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:57:41.738Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:57:41.738Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:57:41.738Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:57:41.738Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:57:41.738Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28200.755 ms) ======
[2026-01-24T13:57:41.738Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-24T13:57:41.738Z] GC before operation: completed in 158.191 ms, heap usage 348.534 MB -> 90.242 MB.
[2026-01-24T13:57:45.937Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:57:48.991Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:57:52.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:57:56.211Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:57:58.181Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:58:00.170Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:58:03.223Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:58:05.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:58:06.207Z] 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.
[2026-01-24T13:58:06.207Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:58:06.207Z] Top recommended movies for user id 72:
[2026-01-24T13:58:06.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:58:06.207Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:58:06.207Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:58:06.207Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:58:06.207Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:58:06.207Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23973.086 ms) ======
[2026-01-24T13:58:06.207Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-24T13:58:06.207Z] GC before operation: completed in 280.108 ms, heap usage 280.275 MB -> 90.215 MB.
[2026-01-24T13:58:10.420Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:58:14.660Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:58:19.615Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:58:22.666Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:58:23.630Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:58:25.616Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:58:27.577Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:58:28.536Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:58:29.494Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T13:58:29.494Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:58:29.494Z] Top recommended movies for user id 72:
[2026-01-24T13:58:29.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:58:29.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:58:29.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:58:29.494Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:58:29.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:58:29.494Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22809.283 ms) ======
[2026-01-24T13:58:29.494Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-24T13:58:29.494Z] GC before operation: completed in 153.731 ms, heap usage 360.901 MB -> 90.088 MB.
[2026-01-24T13:58:32.586Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:58:35.627Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:58:38.686Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:58:42.902Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:58:44.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:58:46.857Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:58:50.076Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:58:52.101Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:58:52.101Z] 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.
[2026-01-24T13:58:52.101Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:58:52.101Z] Top recommended movies for user id 72:
[2026-01-24T13:58:52.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:58:52.101Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:58:52.101Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:58:52.101Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:58:52.101Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:58:52.101Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22580.737 ms) ======
[2026-01-24T13:58:52.101Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-24T13:58:52.101Z] GC before operation: completed in 156.957 ms, heap usage 441.974 MB -> 90.286 MB.
[2026-01-24T13:58:55.154Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T13:58:58.202Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T13:59:00.173Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T13:59:03.263Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T13:59:05.228Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T13:59:07.216Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T13:59:09.190Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T13:59:10.885Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T13:59:10.885Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T13:59:10.885Z] The best model improves the baseline by 14.52%.
[2026-01-24T13:59:11.843Z] Top recommended movies for user id 72:
[2026-01-24T13:59:11.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T13:59:11.843Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T13:59:11.843Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T13:59:11.843Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T13:59:11.843Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T13:59:11.843Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19323.865 ms) ======
[2026-01-24T13:59:12.804Z] -----------------------------------
[2026-01-24T13:59:12.804Z] renaissance-movie-lens_0_PASSED
[2026-01-24T13:59:12.804Z] -----------------------------------
[2026-01-24T13:59:12.804Z]
[2026-01-24T13:59:12.804Z] TEST TEARDOWN:
[2026-01-24T13:59:12.804Z] Nothing to be done for teardown.
[2026-01-24T13:59:12.804Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 13:59:12 2026 Epoch Time (ms): 1769263152158