renaissance-movie-lens_0
[2025-12-13T14:07:40.374Z] Running test renaissance-movie-lens_0 ...
[2025-12-13T14:07:40.374Z] ===============================================
[2025-12-13T14:07:40.374Z] renaissance-movie-lens_0 Start Time: Sat Dec 13 14:07:39 2025 Epoch Time (ms): 1765634859974
[2025-12-13T14:07:40.374Z] variation: NoOptions
[2025-12-13T14:07:40.374Z] JVM_OPTIONS:
[2025-12-13T14:07:40.374Z] { \
[2025-12-13T14:07:40.374Z] echo ""; echo "TEST SETUP:"; \
[2025-12-13T14:07:40.374Z] echo "Nothing to be done for setup."; \
[2025-12-13T14:07:40.374Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17656328247060/renaissance-movie-lens_0"; \
[2025-12-13T14:07:40.374Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17656328247060/renaissance-movie-lens_0"; \
[2025-12-13T14:07:40.374Z] echo ""; echo "TESTING:"; \
[2025-12-13T14:07:40.374Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17656328247060/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-13T14:07:40.374Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17656328247060/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-13T14:07:40.374Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-13T14:07:40.374Z] echo "Nothing to be done for teardown."; \
[2025-12-13T14:07:40.374Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17656328247060/TestTargetResult";
[2025-12-13T14:07:40.374Z]
[2025-12-13T14:07:40.374Z] TEST SETUP:
[2025-12-13T14:07:40.374Z] Nothing to be done for setup.
[2025-12-13T14:07:40.374Z]
[2025-12-13T14:07:40.374Z] TESTING:
[2025-12-13T14:07:41.113Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-13T14:07:41.113Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17656328247060/renaissance-movie-lens_0/launcher-140740-3932503146876659513/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-13T14:07:41.113Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-13T14:07:41.113Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-13T14:07:50.716Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-12-13T14:08:02.284Z] 14:08:02.095 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.
[2025-12-13T14:08:06.610Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-13T14:08:06.610Z] Training: 60056, validation: 20285, test: 19854
[2025-12-13T14:08:06.610Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-13T14:08:06.610Z] GC before operation: completed in 185.377 ms, heap usage 265.602 MB -> 75.785 MB.
[2025-12-13T14:08:18.059Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:08:24.798Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:08:31.484Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:08:36.908Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:08:40.226Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:08:43.558Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:08:46.427Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:08:49.745Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:08:49.745Z] 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.
[2025-12-13T14:08:49.745Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:08:50.484Z] Top recommended movies for user id 72:
[2025-12-13T14:08:50.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:08:50.484Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:08:50.484Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:08:50.484Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:08:50.484Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:08:50.484Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (43531.989 ms) ======
[2025-12-13T14:08:50.484Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-13T14:08:50.484Z] GC before operation: completed in 212.822 ms, heap usage 132.998 MB -> 87.440 MB.
[2025-12-13T14:08:56.025Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:09:00.377Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:09:05.807Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:09:10.129Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:09:12.538Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:09:15.849Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:09:19.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:09:21.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:09:21.549Z] 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.
[2025-12-13T14:09:21.549Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:09:22.289Z] Top recommended movies for user id 72:
[2025-12-13T14:09:22.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:09:22.289Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:09:22.289Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:09:22.289Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:09:22.289Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:09:22.289Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (31324.773 ms) ======
[2025-12-13T14:09:22.289Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-13T14:09:22.289Z] GC before operation: completed in 274.070 ms, heap usage 700.893 MB -> 92.352 MB.
[2025-12-13T14:09:26.615Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:09:31.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:09:35.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:09:41.174Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:09:43.555Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:09:45.938Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:09:49.249Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:09:54.004Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:09:54.741Z] 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.
[2025-12-13T14:09:54.741Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:09:54.741Z] Top recommended movies for user id 72:
[2025-12-13T14:09:54.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:09:54.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:09:54.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:09:54.741Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:09:54.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:09:54.741Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (32327.892 ms) ======
[2025-12-13T14:09:54.741Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-13T14:09:54.741Z] GC before operation: completed in 183.932 ms, heap usage 171.427 MB -> 88.975 MB.
[2025-12-13T14:10:00.171Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:10:08.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:10:16.765Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:10:21.138Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:10:23.521Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:10:26.846Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:10:29.241Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:10:31.638Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:10:32.387Z] 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.
[2025-12-13T14:10:32.387Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:10:32.387Z] Top recommended movies for user id 72:
[2025-12-13T14:10:32.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:10:32.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:10:32.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:10:32.387Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:10:32.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:10:32.387Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (37818.086 ms) ======
[2025-12-13T14:10:32.387Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-13T14:10:33.130Z] GC before operation: completed in 251.473 ms, heap usage 386.823 MB -> 89.581 MB.
[2025-12-13T14:10:37.444Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:10:42.883Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:10:47.225Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:10:51.549Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:10:54.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:10:57.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:10:59.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:11:02.544Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:11:02.544Z] 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.
[2025-12-13T14:11:02.544Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:11:03.288Z] Top recommended movies for user id 72:
[2025-12-13T14:11:03.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:11:03.288Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:11:03.288Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:11:03.288Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:11:03.288Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:11:03.288Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (30148.337 ms) ======
[2025-12-13T14:11:03.288Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-13T14:11:03.288Z] GC before operation: completed in 184.278 ms, heap usage 119.106 MB -> 89.352 MB.
[2025-12-13T14:11:07.610Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:11:11.949Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:11:17.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:11:21.707Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:11:24.093Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:11:26.483Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:11:28.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:11:31.252Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:11:31.991Z] 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.
[2025-12-13T14:11:31.991Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:11:31.991Z] Top recommended movies for user id 72:
[2025-12-13T14:11:31.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:11:31.991Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:11:31.991Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:11:31.991Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:11:31.991Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:11:31.991Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (28781.195 ms) ======
[2025-12-13T14:11:31.991Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-13T14:11:31.991Z] GC before operation: completed in 211.104 ms, heap usage 188.860 MB -> 89.636 MB.
[2025-12-13T14:11:36.307Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:11:39.623Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:11:43.419Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:11:47.739Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:11:50.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:11:52.528Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:11:54.917Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:11:57.304Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:11:57.304Z] 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.
[2025-12-13T14:11:57.304Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:11:57.304Z] Top recommended movies for user id 72:
[2025-12-13T14:11:57.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:11:57.304Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:11:57.304Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:11:57.304Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:11:57.304Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:11:57.304Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (25382.765 ms) ======
[2025-12-13T14:11:57.304Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-13T14:11:58.044Z] GC before operation: completed in 243.251 ms, heap usage 228.506 MB -> 89.592 MB.
[2025-12-13T14:12:02.359Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:12:05.668Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:12:10.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:12:13.330Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:12:15.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:12:19.032Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:12:21.100Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:12:24.404Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:12:24.404Z] 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.
[2025-12-13T14:12:24.404Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:12:24.404Z] Top recommended movies for user id 72:
[2025-12-13T14:12:24.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:12:24.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:12:24.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:12:24.404Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:12:24.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:12:24.404Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26922.293 ms) ======
[2025-12-13T14:12:24.404Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-13T14:12:25.143Z] GC before operation: completed in 237.565 ms, heap usage 375.541 MB -> 90.067 MB.
[2025-12-13T14:12:29.460Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:12:33.820Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:12:38.134Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:12:41.459Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:12:43.841Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:12:46.233Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:12:48.620Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:12:51.024Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:12:51.024Z] 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.
[2025-12-13T14:12:51.769Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:12:51.769Z] Top recommended movies for user id 72:
[2025-12-13T14:12:51.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:12:51.769Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:12:51.769Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:12:51.769Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:12:51.769Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:12:51.769Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (26658.748 ms) ======
[2025-12-13T14:12:51.769Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-13T14:12:51.769Z] GC before operation: completed in 176.600 ms, heap usage 262.140 MB -> 89.854 MB.
[2025-12-13T14:12:56.125Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:13:00.451Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:13:05.256Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:13:08.584Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:13:10.983Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:13:13.368Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:13:16.707Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:13:19.107Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:13:19.107Z] 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.
[2025-12-13T14:13:19.107Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:13:19.860Z] Top recommended movies for user id 72:
[2025-12-13T14:13:19.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:13:19.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:13:19.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:13:19.860Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:13:19.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:13:19.860Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (27772.933 ms) ======
[2025-12-13T14:13:19.860Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-13T14:13:19.860Z] GC before operation: completed in 210.573 ms, heap usage 477.063 MB -> 90.325 MB.
[2025-12-13T14:13:24.232Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:13:28.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:13:33.102Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:13:37.445Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:13:39.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:13:42.240Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:13:45.559Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:13:48.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:13:48.446Z] 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.
[2025-12-13T14:13:48.446Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:13:48.446Z] Top recommended movies for user id 72:
[2025-12-13T14:13:48.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:13:48.446Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:13:48.446Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:13:48.446Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:13:48.446Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:13:48.446Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (28681.010 ms) ======
[2025-12-13T14:13:48.446Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-13T14:13:48.446Z] GC before operation: completed in 203.592 ms, heap usage 106.102 MB -> 91.761 MB.
[2025-12-13T14:13:52.933Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:13:57.255Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:14:01.690Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:14:05.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:14:08.404Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:14:10.818Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:14:13.241Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:14:16.588Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:14:16.588Z] 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.
[2025-12-13T14:14:16.588Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:14:16.588Z] Top recommended movies for user id 72:
[2025-12-13T14:14:16.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:14:16.588Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:14:16.588Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:14:16.588Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:14:16.588Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:14:16.588Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (28139.808 ms) ======
[2025-12-13T14:14:16.588Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-13T14:14:17.336Z] GC before operation: completed in 239.584 ms, heap usage 375.020 MB -> 90.046 MB.
[2025-12-13T14:14:21.750Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:14:26.217Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:14:30.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:14:33.961Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:14:37.273Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:14:39.703Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:14:43.097Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:14:45.496Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:14:45.496Z] 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.
[2025-12-13T14:14:45.496Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:14:46.248Z] Top recommended movies for user id 72:
[2025-12-13T14:14:46.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:14:46.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:14:46.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:14:46.248Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:14:46.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:14:46.248Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (28940.035 ms) ======
[2025-12-13T14:14:46.248Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-13T14:14:46.248Z] GC before operation: completed in 243.858 ms, heap usage 361.089 MB -> 90.127 MB.
[2025-12-13T14:14:50.577Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:14:54.898Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:14:59.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:15:02.547Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:15:05.882Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:15:08.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:15:10.689Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:15:13.588Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:15:13.589Z] 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.
[2025-12-13T14:15:13.589Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:15:13.589Z] Top recommended movies for user id 72:
[2025-12-13T14:15:13.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:15:13.589Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:15:13.589Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:15:13.589Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:15:13.589Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:15:13.589Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (27371.733 ms) ======
[2025-12-13T14:15:13.589Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-13T14:15:13.589Z] GC before operation: completed in 212.604 ms, heap usage 372.153 MB -> 89.958 MB.
[2025-12-13T14:15:17.938Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:15:22.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:15:26.682Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:15:31.154Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:15:33.562Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:15:35.955Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:15:38.353Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:15:40.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:15:41.503Z] 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.
[2025-12-13T14:15:41.503Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:15:41.503Z] Top recommended movies for user id 72:
[2025-12-13T14:15:41.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:15:41.503Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:15:41.503Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:15:41.503Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:15:41.503Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:15:41.503Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (27798.818 ms) ======
[2025-12-13T14:15:41.503Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-13T14:15:41.503Z] GC before operation: completed in 215.164 ms, heap usage 428.789 MB -> 90.220 MB.
[2025-12-13T14:15:45.837Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:15:50.197Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:15:54.556Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:15:59.157Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:16:01.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:16:03.936Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:16:07.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:16:09.695Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:16:09.695Z] 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.
[2025-12-13T14:16:09.695Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:16:09.696Z] Top recommended movies for user id 72:
[2025-12-13T14:16:09.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:16:09.696Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:16:09.696Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:16:09.696Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:16:09.696Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:16:09.696Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28029.059 ms) ======
[2025-12-13T14:16:09.696Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-13T14:16:10.435Z] GC before operation: completed in 322.767 ms, heap usage 511.564 MB -> 90.254 MB.
[2025-12-13T14:16:14.778Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:16:19.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:16:24.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:16:30.252Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:16:35.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:16:40.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:16:42.462Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:16:44.839Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:16:44.839Z] 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.
[2025-12-13T14:16:44.839Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:16:45.583Z] Top recommended movies for user id 72:
[2025-12-13T14:16:45.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:16:45.583Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:16:45.583Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:16:45.583Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:16:45.583Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:16:45.583Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (35160.568 ms) ======
[2025-12-13T14:16:45.583Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-13T14:16:45.583Z] GC before operation: completed in 222.468 ms, heap usage 135.401 MB -> 89.840 MB.
[2025-12-13T14:16:49.993Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:16:54.335Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:16:58.663Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:17:03.081Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:17:05.477Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:17:07.866Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:17:10.251Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:17:13.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:17:13.549Z] 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.
[2025-12-13T14:17:13.550Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:17:13.550Z] Top recommended movies for user id 72:
[2025-12-13T14:17:13.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:17:13.550Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:17:13.550Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:17:13.550Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:17:13.550Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:17:13.550Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (28104.788 ms) ======
[2025-12-13T14:17:13.550Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-13T14:17:14.298Z] GC before operation: completed in 214.519 ms, heap usage 123.109 MB -> 89.690 MB.
[2025-12-13T14:17:18.606Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:17:22.410Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:17:26.727Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:17:31.051Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:17:33.433Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:17:35.824Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:17:39.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:17:41.528Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:17:41.528Z] 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.
[2025-12-13T14:17:41.528Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:17:42.279Z] Top recommended movies for user id 72:
[2025-12-13T14:17:42.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:17:42.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:17:42.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:17:42.279Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:17:42.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:17:42.279Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (28041.720 ms) ======
[2025-12-13T14:17:42.279Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-13T14:17:42.279Z] GC before operation: completed in 212.222 ms, heap usage 134.792 MB -> 89.797 MB.
[2025-12-13T14:17:46.626Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:17:50.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:17:55.297Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:17:59.703Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:18:02.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:18:05.037Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:18:07.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:18:09.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:18:10.531Z] 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.
[2025-12-13T14:18:10.531Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:18:10.531Z] Top recommended movies for user id 72:
[2025-12-13T14:18:10.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:18:10.531Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:18:10.531Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:18:10.531Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:18:10.531Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:18:10.531Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (28401.460 ms) ======
[2025-12-13T14:18:11.277Z] -----------------------------------
[2025-12-13T14:18:11.277Z] renaissance-movie-lens_0_PASSED
[2025-12-13T14:18:11.277Z] -----------------------------------
[2025-12-13T14:18:11.277Z]
[2025-12-13T14:18:11.277Z] TEST TEARDOWN:
[2025-12-13T14:18:11.277Z] Nothing to be done for teardown.
[2025-12-13T14:18:11.277Z] renaissance-movie-lens_0 Finish Time: Sat Dec 13 14:18:11 2025 Epoch Time (ms): 1765635491037