renaissance-movie-lens_0
[2026-02-27T03:53:28.167Z] Running test renaissance-movie-lens_0 ...
[2026-02-27T03:53:28.167Z] ===============================================
[2026-02-27T03:53:28.167Z] renaissance-movie-lens_0 Start Time: Fri Feb 27 03:53:27 2026 Epoch Time (ms): 1772164407138
[2026-02-27T03:53:28.167Z] variation: NoOptions
[2026-02-27T03:53:28.167Z] JVM_OPTIONS:
[2026-02-27T03:53:28.167Z] { \
[2026-02-27T03:53:28.167Z] echo ""; echo "TEST SETUP:"; \
[2026-02-27T03:53:28.167Z] echo "Nothing to be done for setup."; \
[2026-02-27T03:53:28.167Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17721633747074/renaissance-movie-lens_0"; \
[2026-02-27T03:53:28.167Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17721633747074/renaissance-movie-lens_0"; \
[2026-02-27T03:53:28.167Z] echo ""; echo "TESTING:"; \
[2026-02-27T03:53:28.167Z] "/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_17721633747074/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-27T03:53:28.167Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17721633747074/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-27T03:53:28.167Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-27T03:53:28.167Z] echo "Nothing to be done for teardown."; \
[2026-02-27T03:53:28.167Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17721633747074/TestTargetResult";
[2026-02-27T03:53:28.167Z]
[2026-02-27T03:53:28.167Z] TEST SETUP:
[2026-02-27T03:53:28.167Z] Nothing to be done for setup.
[2026-02-27T03:53:28.167Z]
[2026-02-27T03:53:28.167Z] TESTING:
[2026-02-27T03:53:28.167Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-27T03:53:28.167Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17721633747074/renaissance-movie-lens_0/launcher-035327-11233824626940038635/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-27T03:53:28.167Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-27T03:53:28.167Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-27T03:53:33.553Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-27T03:53:41.723Z] 03:53:41.056 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-27T03:53:43.694Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-27T03:53:43.694Z] Training: 60056, validation: 20285, test: 19854
[2026-02-27T03:53:43.694Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-27T03:53:45.183Z] GC before operation: completed in 112.467 ms, heap usage 287.444 MB -> 75.685 MB.
[2026-02-27T03:53:50.604Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:53:54.774Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:53:57.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:54:00.834Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:54:02.794Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:54:04.761Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:54:06.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:54:08.774Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:54:08.774Z] 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.
[2026-02-27T03:54:08.774Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:54:09.730Z] Top recommended movies for user id 72:
[2026-02-27T03:54:09.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:54:09.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:54:09.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:54:09.730Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:54:09.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:54:09.730Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25096.609 ms) ======
[2026-02-27T03:54:09.730Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-27T03:54:09.730Z] GC before operation: completed in 131.612 ms, heap usage 126.221 MB -> 86.203 MB.
[2026-02-27T03:54:12.762Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:54:17.788Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:54:18.744Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:54:20.709Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:54:22.691Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:54:24.656Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:54:26.776Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:54:28.745Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:54:28.745Z] 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.
[2026-02-27T03:54:28.745Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:54:28.745Z] Top recommended movies for user id 72:
[2026-02-27T03:54:28.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:54:28.745Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:54:28.745Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:54:28.745Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:54:28.745Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:54:28.745Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19717.063 ms) ======
[2026-02-27T03:54:28.745Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-27T03:54:29.705Z] GC before operation: completed in 142.913 ms, heap usage 376.440 MB -> 88.748 MB.
[2026-02-27T03:54:31.810Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:54:35.120Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:54:38.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:54:41.175Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:54:43.135Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:54:44.105Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:54:46.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:54:47.230Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:54:48.184Z] 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.
[2026-02-27T03:54:48.184Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:54:48.184Z] Top recommended movies for user id 72:
[2026-02-27T03:54:48.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:54:48.184Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:54:48.184Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:54:48.184Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:54:48.184Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:54:48.184Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18676.532 ms) ======
[2026-02-27T03:54:48.184Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-27T03:54:48.184Z] GC before operation: completed in 130.223 ms, heap usage 244.354 MB -> 89.220 MB.
[2026-02-27T03:54:51.920Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:54:53.885Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:54:56.913Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:54:58.880Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:55:00.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:55:02.829Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:55:03.874Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:55:05.834Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:55:05.834Z] 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.
[2026-02-27T03:55:05.834Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:55:05.834Z] Top recommended movies for user id 72:
[2026-02-27T03:55:05.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:55:05.834Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:55:05.834Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:55:05.834Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:55:05.834Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:55:05.834Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17988.813 ms) ======
[2026-02-27T03:55:05.834Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-27T03:55:05.834Z] GC before operation: completed in 156.175 ms, heap usage 177.948 MB -> 89.391 MB.
[2026-02-27T03:55:08.912Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:55:12.167Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:55:15.195Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:55:17.158Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:55:19.160Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:55:20.173Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:55:22.418Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:55:24.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:55:25.473Z] 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.
[2026-02-27T03:55:25.473Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:55:25.473Z] Top recommended movies for user id 72:
[2026-02-27T03:55:25.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:55:25.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:55:25.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:55:25.473Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:55:25.473Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:55:25.473Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18949.780 ms) ======
[2026-02-27T03:55:25.473Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-27T03:55:25.473Z] GC before operation: completed in 132.586 ms, heap usage 365.037 MB -> 89.660 MB.
[2026-02-27T03:55:28.505Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:55:30.652Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:55:33.974Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:55:35.932Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:55:37.074Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:55:39.040Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:55:41.065Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:55:42.023Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:55:42.023Z] 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.
[2026-02-27T03:55:42.023Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:55:42.023Z] Top recommended movies for user id 72:
[2026-02-27T03:55:42.023Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:55:42.023Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:55:42.023Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:55:42.023Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:55:42.023Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:55:42.023Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16950.441 ms) ======
[2026-02-27T03:55:42.023Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-27T03:55:42.023Z] GC before operation: completed in 131.967 ms, heap usage 372.361 MB -> 90.037 MB.
[2026-02-27T03:55:45.152Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:55:47.115Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:55:49.072Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:55:52.145Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:55:53.098Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:55:54.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:55:56.012Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:55:56.968Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:55:57.924Z] 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.
[2026-02-27T03:55:57.924Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:55:57.924Z] Top recommended movies for user id 72:
[2026-02-27T03:55:57.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:55:57.924Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:55:57.924Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:55:57.924Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:55:57.924Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:55:57.924Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15209.041 ms) ======
[2026-02-27T03:55:57.924Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-27T03:55:57.924Z] GC before operation: completed in 134.462 ms, heap usage 118.464 MB -> 89.576 MB.
[2026-02-27T03:55:59.886Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:56:02.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:56:05.365Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:56:07.347Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:56:08.370Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:56:10.332Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:56:11.289Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:56:13.255Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:56:13.255Z] 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.
[2026-02-27T03:56:13.255Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:56:13.255Z] Top recommended movies for user id 72:
[2026-02-27T03:56:13.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:56:13.255Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:56:13.255Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:56:13.255Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:56:13.255Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:56:13.255Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15660.226 ms) ======
[2026-02-27T03:56:13.255Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-27T03:56:13.255Z] GC before operation: completed in 129.409 ms, heap usage 368.398 MB -> 90.103 MB.
[2026-02-27T03:56:16.457Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:56:18.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:56:20.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:56:23.607Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:56:24.569Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:56:26.550Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:56:27.542Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:56:29.518Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:56:29.518Z] 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.
[2026-02-27T03:56:29.518Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:56:29.518Z] Top recommended movies for user id 72:
[2026-02-27T03:56:29.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:56:29.518Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:56:29.518Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:56:29.518Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:56:29.518Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:56:29.518Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16112.121 ms) ======
[2026-02-27T03:56:29.518Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-27T03:56:29.518Z] GC before operation: completed in 129.136 ms, heap usage 131.056 MB -> 89.957 MB.
[2026-02-27T03:56:32.785Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:56:34.751Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:56:36.718Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:56:38.681Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:56:40.644Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:56:41.598Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:56:42.554Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:56:44.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:56:44.522Z] 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.
[2026-02-27T03:56:44.522Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:56:44.522Z] Top recommended movies for user id 72:
[2026-02-27T03:56:44.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:56:44.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:56:44.522Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:56:44.522Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:56:44.522Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:56:44.522Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14817.618 ms) ======
[2026-02-27T03:56:44.522Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-27T03:56:44.522Z] GC before operation: completed in 137.678 ms, heap usage 371.760 MB -> 90.198 MB.
[2026-02-27T03:56:47.555Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:56:49.522Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:56:51.495Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:56:53.459Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:56:55.430Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:56:56.388Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:56:58.356Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:56:59.316Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:56:59.316Z] 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.
[2026-02-27T03:56:59.316Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:56:59.316Z] Top recommended movies for user id 72:
[2026-02-27T03:56:59.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:56:59.316Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:56:59.316Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:56:59.316Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:56:59.316Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:56:59.316Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14998.031 ms) ======
[2026-02-27T03:56:59.316Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-27T03:57:00.273Z] GC before operation: completed in 135.354 ms, heap usage 444.861 MB -> 90.044 MB.
[2026-02-27T03:57:02.234Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:57:04.197Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:57:06.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:57:09.187Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:57:10.142Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:57:11.100Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:57:12.527Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:57:14.496Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:57:14.496Z] 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.
[2026-02-27T03:57:14.496Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:57:14.496Z] Top recommended movies for user id 72:
[2026-02-27T03:57:14.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:57:14.496Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:57:14.496Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:57:14.496Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:57:14.496Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:57:14.496Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14566.960 ms) ======
[2026-02-27T03:57:14.496Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-27T03:57:14.496Z] GC before operation: completed in 133.282 ms, heap usage 367.552 MB -> 90.064 MB.
[2026-02-27T03:57:16.456Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:57:19.483Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:57:21.442Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:57:23.407Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:57:25.378Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:57:26.332Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:57:27.296Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:57:29.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:57:29.260Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T03:57:29.260Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:57:29.260Z] Top recommended movies for user id 72:
[2026-02-27T03:57:29.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:57:29.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:57:29.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:57:29.260Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:57:29.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:57:29.260Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14693.866 ms) ======
[2026-02-27T03:57:29.260Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-27T03:57:29.260Z] GC before operation: completed in 132.549 ms, heap usage 497.831 MB -> 90.386 MB.
[2026-02-27T03:57:32.298Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:57:34.309Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:57:36.277Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:57:38.251Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:57:40.214Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:57:41.168Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:57:42.127Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:57:44.107Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:57:44.107Z] 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.
[2026-02-27T03:57:44.107Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:57:44.107Z] Top recommended movies for user id 72:
[2026-02-27T03:57:44.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:57:44.107Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:57:44.107Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:57:44.107Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:57:44.107Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:57:44.107Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14650.671 ms) ======
[2026-02-27T03:57:44.107Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-27T03:57:44.107Z] GC before operation: completed in 138.709 ms, heap usage 262.278 MB -> 89.890 MB.
[2026-02-27T03:57:46.078Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:57:49.106Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:57:51.072Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:57:53.034Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:57:54.997Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:57:55.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:57:57.932Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:57:58.894Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:57:58.894Z] 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.
[2026-02-27T03:57:58.894Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:57:59.855Z] Top recommended movies for user id 72:
[2026-02-27T03:57:59.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:57:59.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:57:59.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:57:59.855Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:57:59.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:57:59.855Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15172.468 ms) ======
[2026-02-27T03:57:59.855Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-27T03:57:59.855Z] GC before operation: completed in 137.806 ms, heap usage 294.174 MB -> 90.183 MB.
[2026-02-27T03:58:01.819Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:58:04.882Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:58:06.839Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:58:08.801Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:58:09.758Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:58:11.716Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:58:12.672Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:58:14.635Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:58:14.635Z] 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.
[2026-02-27T03:58:14.635Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:58:14.635Z] Top recommended movies for user id 72:
[2026-02-27T03:58:14.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:58:14.635Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:58:14.635Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:58:14.635Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:58:14.635Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:58:14.635Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15150.583 ms) ======
[2026-02-27T03:58:14.635Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-27T03:58:14.635Z] GC before operation: completed in 128.422 ms, heap usage 428.959 MB -> 90.176 MB.
[2026-02-27T03:58:17.366Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:58:19.339Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:58:21.302Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:58:23.267Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:58:24.225Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:58:26.193Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:58:27.148Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:58:28.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:58:28.106Z] 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.
[2026-02-27T03:58:28.106Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:58:28.106Z] Top recommended movies for user id 72:
[2026-02-27T03:58:28.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:58:28.106Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:58:28.106Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:58:28.106Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:58:28.106Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:58:28.106Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13647.853 ms) ======
[2026-02-27T03:58:28.106Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-27T03:58:29.067Z] GC before operation: completed in 139.471 ms, heap usage 288.849 MB -> 90.102 MB.
[2026-02-27T03:58:31.028Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:58:32.991Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:58:34.986Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:58:36.948Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:58:37.906Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:58:39.883Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:58:40.836Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:58:41.793Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:58:41.793Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T03:58:41.793Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:58:41.793Z] Top recommended movies for user id 72:
[2026-02-27T03:58:41.793Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:58:41.793Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:58:41.793Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:58:41.793Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:58:41.793Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:58:41.793Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13500.257 ms) ======
[2026-02-27T03:58:41.793Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-27T03:58:41.793Z] GC before operation: completed in 134.459 ms, heap usage 360.764 MB -> 90.109 MB.
[2026-02-27T03:58:44.819Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:58:46.783Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:58:48.747Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:58:50.721Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:58:52.691Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:58:53.646Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:58:54.606Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:58:56.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:58:56.597Z] 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.
[2026-02-27T03:58:56.597Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:58:56.597Z] Top recommended movies for user id 72:
[2026-02-27T03:58:56.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:58:56.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:58:56.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:58:56.597Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:58:56.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:58:56.597Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14414.098 ms) ======
[2026-02-27T03:58:56.597Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-27T03:58:56.597Z] GC before operation: completed in 136.401 ms, heap usage 177.602 MB -> 89.879 MB.
[2026-02-27T03:58:59.633Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:59:01.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:59:04.299Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:59:05.253Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:59:06.217Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:59:07.171Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:59:09.183Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:59:10.138Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:59:10.138Z] 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.
[2026-02-27T03:59:10.138Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:59:10.138Z] Top recommended movies for user id 72:
[2026-02-27T03:59:10.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:59:10.138Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:59:10.138Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:59:10.138Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:59:10.138Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:59:10.138Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13720.538 ms) ======
[2026-02-27T03:59:11.095Z] -----------------------------------
[2026-02-27T03:59:11.095Z] renaissance-movie-lens_0_PASSED
[2026-02-27T03:59:11.095Z] -----------------------------------
[2026-02-27T03:59:11.095Z]
[2026-02-27T03:59:11.095Z] TEST TEARDOWN:
[2026-02-27T03:59:11.095Z] Nothing to be done for teardown.
[2026-02-27T03:59:11.095Z] renaissance-movie-lens_0 Finish Time: Fri Feb 27 03:59:10 2026 Epoch Time (ms): 1772164750794