renaissance-movie-lens_0
[2026-02-06T07:54:23.091Z] Running test renaissance-movie-lens_0 ...
[2026-02-06T07:54:23.091Z] ===============================================
[2026-02-06T07:54:23.091Z] renaissance-movie-lens_0 Start Time: Fri Feb 6 07:54:22 2026 Epoch Time (ms): 1770364462287
[2026-02-06T07:54:23.091Z] variation: NoOptions
[2026-02-06T07:54:23.091Z] JVM_OPTIONS:
[2026-02-06T07:54:23.091Z] { \
[2026-02-06T07:54:23.091Z] echo ""; echo "TEST SETUP:"; \
[2026-02-06T07:54:23.091Z] echo "Nothing to be done for setup."; \
[2026-02-06T07:54:23.091Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17703631121989/renaissance-movie-lens_0"; \
[2026-02-06T07:54:23.091Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17703631121989/renaissance-movie-lens_0"; \
[2026-02-06T07:54:23.091Z] echo ""; echo "TESTING:"; \
[2026-02-06T07:54:23.091Z] "/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_17703631121989/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-06T07:54:23.091Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17703631121989/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-06T07:54:23.091Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-06T07:54:23.091Z] echo "Nothing to be done for teardown."; \
[2026-02-06T07:54:23.091Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17703631121989/TestTargetResult";
[2026-02-06T07:54:23.091Z]
[2026-02-06T07:54:23.091Z] TEST SETUP:
[2026-02-06T07:54:23.091Z] Nothing to be done for setup.
[2026-02-06T07:54:23.091Z]
[2026-02-06T07:54:23.091Z] TESTING:
[2026-02-06T07:54:24.059Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-06T07:54:24.059Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17703631121989/renaissance-movie-lens_0/launcher-075422-456916205520994854/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-06T07:54:24.059Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-06T07:54:24.059Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-06T07:54:30.980Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-06T07:54:40.886Z] 07:54:40.602 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-06T07:54:43.963Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-06T07:54:43.963Z] Training: 60056, validation: 20285, test: 19854
[2026-02-06T07:54:43.964Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-06T07:54:45.137Z] GC before operation: completed in 205.193 ms, heap usage 207.929 MB -> 75.729 MB.
[2026-02-06T07:54:51.959Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:54:57.369Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:55:01.598Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:55:05.831Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:55:07.825Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:55:09.821Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:55:11.825Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:55:13.819Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:55:13.819Z] 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.
[2026-02-06T07:55:13.819Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:55:14.887Z] Top recommended movies for user id 72:
[2026-02-06T07:55:14.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:55:14.887Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:55:14.887Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:55:14.887Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:55:14.887Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:55:14.887Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29856.672 ms) ======
[2026-02-06T07:55:14.887Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-06T07:55:14.887Z] GC before operation: completed in 151.300 ms, heap usage 134.791 MB -> 86.167 MB.
[2026-02-06T07:55:19.111Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:55:21.100Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:55:25.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:55:27.397Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:55:29.635Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:55:31.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:55:33.658Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:55:35.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:55:35.657Z] 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.
[2026-02-06T07:55:35.657Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:55:35.657Z] Top recommended movies for user id 72:
[2026-02-06T07:55:35.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:55:35.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:55:35.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:55:35.657Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:55:35.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:55:35.657Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21544.352 ms) ======
[2026-02-06T07:55:35.657Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-06T07:55:36.951Z] GC before operation: completed in 140.803 ms, heap usage 296.618 MB -> 88.557 MB.
[2026-02-06T07:55:40.038Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:55:43.257Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:55:46.337Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:55:49.411Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:55:51.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:55:52.500Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:55:54.493Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:55:56.508Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:55:56.509Z] 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.
[2026-02-06T07:55:56.509Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:55:56.509Z] Top recommended movies for user id 72:
[2026-02-06T07:55:56.509Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:55:56.509Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:55:56.509Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:55:56.509Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:55:56.509Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:55:56.509Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20118.300 ms) ======
[2026-02-06T07:55:56.509Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-06T07:55:56.509Z] GC before operation: completed in 143.299 ms, heap usage 448.577 MB -> 89.380 MB.
[2026-02-06T07:55:59.580Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:56:02.666Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:56:04.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:56:07.992Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:56:10.416Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:56:11.387Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:56:13.605Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:56:14.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:56:15.554Z] 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.
[2026-02-06T07:56:15.554Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:56:15.554Z] Top recommended movies for user id 72:
[2026-02-06T07:56:15.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:56:15.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:56:15.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:56:15.554Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:56:15.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:56:15.554Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18857.038 ms) ======
[2026-02-06T07:56:15.554Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-06T07:56:15.554Z] GC before operation: completed in 130.431 ms, heap usage 106.512 MB -> 89.219 MB.
[2026-02-06T07:56:18.627Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:56:20.617Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:56:23.936Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:56:27.009Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:56:29.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:56:30.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:56:31.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:56:34.101Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:56:34.101Z] 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.
[2026-02-06T07:56:34.101Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:56:35.074Z] Top recommended movies for user id 72:
[2026-02-06T07:56:35.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:56:35.074Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:56:35.074Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:56:35.074Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:56:35.074Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:56:35.074Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19183.058 ms) ======
[2026-02-06T07:56:35.074Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-06T07:56:35.074Z] GC before operation: completed in 126.786 ms, heap usage 104.140 MB -> 89.331 MB.
[2026-02-06T07:56:38.147Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:56:40.253Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:56:43.333Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:56:45.328Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:56:47.324Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:56:49.515Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:56:50.492Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:56:52.488Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:56:52.488Z] 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.
[2026-02-06T07:56:52.488Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:56:52.488Z] Top recommended movies for user id 72:
[2026-02-06T07:56:52.488Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:56:52.488Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:56:52.488Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:56:52.488Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:56:52.488Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:56:52.488Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18079.147 ms) ======
[2026-02-06T07:56:52.488Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-06T07:56:53.457Z] GC before operation: completed in 135.266 ms, heap usage 418.438 MB -> 90.012 MB.
[2026-02-06T07:56:55.451Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:56:58.732Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:57:00.732Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:57:03.808Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:57:05.806Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:57:06.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:57:08.774Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:57:09.752Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:57:09.752Z] 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.
[2026-02-06T07:57:09.752Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:57:10.722Z] Top recommended movies for user id 72:
[2026-02-06T07:57:10.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:57:10.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:57:10.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:57:10.723Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:57:10.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:57:10.723Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17262.113 ms) ======
[2026-02-06T07:57:10.723Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-06T07:57:10.723Z] GC before operation: completed in 139.346 ms, heap usage 132.580 MB -> 89.488 MB.
[2026-02-06T07:57:12.718Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:57:15.804Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:57:18.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:57:20.876Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:57:23.237Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:57:24.586Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:57:25.567Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:57:27.564Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:57:27.564Z] 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.
[2026-02-06T07:57:27.564Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:57:27.564Z] Top recommended movies for user id 72:
[2026-02-06T07:57:27.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:57:27.564Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:57:27.564Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:57:27.564Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:57:27.564Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:57:27.564Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17530.289 ms) ======
[2026-02-06T07:57:27.564Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-06T07:57:28.536Z] GC before operation: completed in 137.359 ms, heap usage 121.210 MB -> 92.458 MB.
[2026-02-06T07:57:30.529Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:57:33.769Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:57:35.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:57:38.894Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:57:39.862Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:57:40.832Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:57:42.829Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:57:44.830Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:57:44.830Z] 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.
[2026-02-06T07:57:44.830Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:57:44.830Z] Top recommended movies for user id 72:
[2026-02-06T07:57:44.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:57:44.830Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:57:44.830Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:57:44.830Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:57:44.830Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:57:44.830Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16809.671 ms) ======
[2026-02-06T07:57:44.830Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-06T07:57:44.830Z] GC before operation: completed in 132.684 ms, heap usage 154.191 MB -> 89.534 MB.
[2026-02-06T07:57:47.929Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:57:51.002Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:57:53.003Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:57:56.086Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:57:57.063Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:57:59.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:58:00.067Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:58:02.078Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:58:02.078Z] 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.
[2026-02-06T07:58:02.078Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:58:02.078Z] Top recommended movies for user id 72:
[2026-02-06T07:58:02.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:58:02.078Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:58:02.078Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:58:02.078Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:58:02.078Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:58:02.078Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17295.174 ms) ======
[2026-02-06T07:58:02.078Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-06T07:58:02.078Z] GC before operation: completed in 151.769 ms, heap usage 105.123 MB -> 93.609 MB.
[2026-02-06T07:58:05.165Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:58:08.249Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:58:10.329Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:58:12.324Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:58:14.321Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:58:15.300Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:58:17.295Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:58:19.294Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:58:19.294Z] 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.
[2026-02-06T07:58:19.294Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:58:19.294Z] Top recommended movies for user id 72:
[2026-02-06T07:58:19.294Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:58:19.294Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:58:19.294Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:58:19.294Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:58:19.294Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:58:19.294Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16904.888 ms) ======
[2026-02-06T07:58:19.295Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-06T07:58:19.295Z] GC before operation: completed in 184.824 ms, heap usage 376.086 MB -> 89.946 MB.
[2026-02-06T07:58:22.371Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:58:25.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:58:27.567Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:58:30.652Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:58:32.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:58:33.410Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:58:35.405Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:58:36.386Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:58:37.365Z] 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.
[2026-02-06T07:58:37.365Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:58:37.365Z] Top recommended movies for user id 72:
[2026-02-06T07:58:37.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:58:37.365Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:58:37.365Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:58:37.365Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:58:37.365Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:58:37.365Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17569.615 ms) ======
[2026-02-06T07:58:37.365Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-06T07:58:37.365Z] GC before operation: completed in 140.236 ms, heap usage 540.717 MB -> 93.550 MB.
[2026-02-06T07:58:40.447Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:58:42.595Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:58:45.671Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:58:47.663Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:58:49.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:58:50.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:58:52.628Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:58:53.598Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:58:53.598Z] 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.
[2026-02-06T07:58:53.598Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:58:54.566Z] Top recommended movies for user id 72:
[2026-02-06T07:58:54.566Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:58:54.566Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:58:54.566Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:58:54.566Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:58:54.566Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:58:54.566Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16905.733 ms) ======
[2026-02-06T07:58:54.566Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-06T07:58:54.566Z] GC before operation: completed in 146.636 ms, heap usage 440.824 MB -> 90.304 MB.
[2026-02-06T07:58:57.640Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:58:59.634Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:59:02.709Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:59:04.706Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:59:06.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:59:07.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:59:09.676Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:59:10.646Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:59:11.619Z] 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.
[2026-02-06T07:59:11.619Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:59:11.619Z] Top recommended movies for user id 72:
[2026-02-06T07:59:11.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:59:11.619Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:59:11.619Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:59:11.619Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:59:11.619Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:59:11.619Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17118.793 ms) ======
[2026-02-06T07:59:11.619Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-06T07:59:11.619Z] GC before operation: completed in 137.126 ms, heap usage 519.513 MB -> 90.312 MB.
[2026-02-06T07:59:14.696Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:59:16.692Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:59:19.771Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:59:21.771Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:59:23.777Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:59:24.746Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:59:26.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:59:27.718Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:59:27.718Z] 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.
[2026-02-06T07:59:27.718Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:59:28.687Z] Top recommended movies for user id 72:
[2026-02-06T07:59:28.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:59:28.687Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:59:28.687Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:59:28.687Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:59:28.687Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:59:28.687Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16720.288 ms) ======
[2026-02-06T07:59:28.687Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-06T07:59:28.687Z] GC before operation: completed in 158.225 ms, heap usage 444.996 MB -> 90.373 MB.
[2026-02-06T07:59:30.683Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:59:33.933Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:59:35.933Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:59:39.008Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:59:39.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:59:41.976Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:59:43.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T07:59:44.417Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T07:59:45.386Z] 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.
[2026-02-06T07:59:45.386Z] The best model improves the baseline by 14.52%.
[2026-02-06T07:59:45.386Z] Top recommended movies for user id 72:
[2026-02-06T07:59:45.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T07:59:45.386Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T07:59:45.386Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T07:59:45.386Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T07:59:45.386Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T07:59:45.386Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16681.368 ms) ======
[2026-02-06T07:59:45.386Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-06T07:59:45.386Z] GC before operation: completed in 134.430 ms, heap usage 119.212 MB -> 91.658 MB.
[2026-02-06T07:59:47.382Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T07:59:50.469Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T07:59:53.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T07:59:55.590Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T07:59:56.572Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T07:59:58.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T07:59:59.574Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:00:01.627Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:00:01.627Z] 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.
[2026-02-06T08:00:01.627Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:00:01.627Z] Top recommended movies for user id 72:
[2026-02-06T08:00:01.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:00:01.627Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:00:01.627Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:00:01.627Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:00:01.627Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:00:01.627Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16599.319 ms) ======
[2026-02-06T08:00:01.627Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-06T08:00:01.627Z] GC before operation: completed in 142.391 ms, heap usage 414.285 MB -> 90.174 MB.
[2026-02-06T08:00:04.752Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:00:06.755Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:00:09.830Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:00:11.831Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:00:12.912Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:00:14.903Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:00:16.902Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:00:17.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:00:17.877Z] 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.
[2026-02-06T08:00:17.877Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:00:18.846Z] Top recommended movies for user id 72:
[2026-02-06T08:00:18.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:00:18.846Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:00:18.846Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:00:18.846Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:00:18.846Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:00:18.846Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16367.359 ms) ======
[2026-02-06T08:00:18.846Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-06T08:00:18.846Z] GC before operation: completed in 136.755 ms, heap usage 297.122 MB -> 89.946 MB.
[2026-02-06T08:00:20.841Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:00:23.928Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:00:25.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:00:29.038Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:00:30.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:00:32.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:00:32.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:00:34.978Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:00:34.978Z] 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.
[2026-02-06T08:00:34.978Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:00:34.978Z] Top recommended movies for user id 72:
[2026-02-06T08:00:34.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:00:34.978Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:00:34.978Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:00:34.978Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:00:34.978Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:00:34.978Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16667.004 ms) ======
[2026-02-06T08:00:34.978Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-06T08:00:34.978Z] GC before operation: completed in 132.376 ms, heap usage 119.003 MB -> 89.735 MB.
[2026-02-06T08:00:38.068Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:00:40.062Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:00:42.060Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:00:45.144Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:00:46.112Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:00:47.084Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:00:49.078Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:00:50.057Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:00:51.025Z] 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.
[2026-02-06T08:00:51.025Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:00:51.025Z] Top recommended movies for user id 72:
[2026-02-06T08:00:51.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:00:51.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:00:51.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:00:51.025Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:00:51.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:00:51.025Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15480.956 ms) ======
[2026-02-06T08:00:51.996Z] -----------------------------------
[2026-02-06T08:00:51.996Z] renaissance-movie-lens_0_PASSED
[2026-02-06T08:00:51.996Z] -----------------------------------
[2026-02-06T08:00:51.996Z]
[2026-02-06T08:00:51.996Z] TEST TEARDOWN:
[2026-02-06T08:00:51.996Z] Nothing to be done for teardown.
[2026-02-06T08:00:51.996Z] renaissance-movie-lens_0 Finish Time: Fri Feb 6 08:00:51 2026 Epoch Time (ms): 1770364851239