renaissance-movie-lens_0
[2026-02-14T22:13:30.730Z] Running test renaissance-movie-lens_0 ...
[2026-02-14T22:13:30.730Z] ===============================================
[2026-02-14T22:13:30.730Z] renaissance-movie-lens_0 Start Time: Sat Feb 14 17:13:30 2026 Epoch Time (ms): 1771107210610
[2026-02-14T22:13:30.730Z] variation: NoOptions
[2026-02-14T22:13:30.730Z] JVM_OPTIONS:
[2026-02-14T22:13:30.730Z] { \
[2026-02-14T22:13:30.730Z] echo ""; echo "TEST SETUP:"; \
[2026-02-14T22:13:30.730Z] echo "Nothing to be done for setup."; \
[2026-02-14T22:13:30.730Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17711068269104/renaissance-movie-lens_0"; \
[2026-02-14T22:13:30.730Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17711068269104/renaissance-movie-lens_0"; \
[2026-02-14T22:13:30.730Z] echo ""; echo "TESTING:"; \
[2026-02-14T22:13:30.730Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17711068269104/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-14T22:13:30.730Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17711068269104/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-14T22:13:30.730Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-14T22:13:30.730Z] echo "Nothing to be done for teardown."; \
[2026-02-14T22:13:30.730Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17711068269104/TestTargetResult";
[2026-02-14T22:13:30.730Z]
[2026-02-14T22:13:30.730Z] TEST SETUP:
[2026-02-14T22:13:30.730Z] Nothing to be done for setup.
[2026-02-14T22:13:30.730Z]
[2026-02-14T22:13:30.730Z] TESTING:
[2026-02-14T22:13:31.078Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-14T22:13:31.078Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17711068269104/renaissance-movie-lens_0/launcher-171330-15790698812042190278/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-14T22:13:31.078Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-14T22:13:31.078Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-14T22:13:34.146Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-14T22:13:37.295Z] 17:13:37.041 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.
[2026-02-14T22:13:38.558Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-14T22:13:38.558Z] Training: 60056, validation: 20285, test: 19854
[2026-02-14T22:13:38.558Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-14T22:13:38.558Z] GC before operation: completed in 65.906 ms, heap usage 213.852 MB -> 76.051 MB.
[2026-02-14T22:13:42.624Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:13:44.394Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:13:46.146Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:13:48.564Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:13:51.029Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:13:51.029Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:13:51.820Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:13:53.070Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:13:53.070Z] 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.
[2026-02-14T22:13:53.070Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:13:53.429Z] Top recommended movies for user id 72:
[2026-02-14T22:13:53.429Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:13:53.429Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:13:53.429Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:13:53.429Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:13:53.429Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:13:53.429Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14712.969 ms) ======
[2026-02-14T22:13:53.429Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-14T22:13:53.429Z] GC before operation: completed in 90.033 ms, heap usage 437.100 MB -> 89.321 MB.
[2026-02-14T22:13:55.782Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:13:56.986Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:13:58.717Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:14:00.507Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:14:01.297Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:14:02.082Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:14:03.355Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:14:04.111Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:14:04.111Z] 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.
[2026-02-14T22:14:04.111Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:14:04.111Z] Top recommended movies for user id 72:
[2026-02-14T22:14:04.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:14:04.111Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:14:04.111Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:14:04.111Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:14:04.111Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:14:04.111Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10811.736 ms) ======
[2026-02-14T22:14:04.111Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-14T22:14:04.466Z] GC before operation: completed in 64.321 ms, heap usage 416.535 MB -> 89.690 MB.
[2026-02-14T22:14:05.697Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:14:06.986Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:14:08.762Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:14:09.989Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:14:10.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:14:11.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:14:12.248Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:14:13.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:14:13.483Z] 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.
[2026-02-14T22:14:13.483Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:14:13.483Z] Top recommended movies for user id 72:
[2026-02-14T22:14:13.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:14:13.483Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:14:13.483Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:14:13.483Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:14:13.483Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:14:13.483Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9264.743 ms) ======
[2026-02-14T22:14:13.483Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-14T22:14:13.483Z] GC before operation: completed in 40.300 ms, heap usage 361.331 MB -> 89.850 MB.
[2026-02-14T22:14:14.699Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:14:16.447Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:14:18.252Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:14:20.121Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:14:21.341Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:14:22.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:14:23.797Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:14:25.015Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:14:25.015Z] 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.
[2026-02-14T22:14:25.373Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:14:25.373Z] Top recommended movies for user id 72:
[2026-02-14T22:14:25.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:14:25.373Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:14:25.373Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:14:25.373Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:14:25.373Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:14:25.373Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (11659.905 ms) ======
[2026-02-14T22:14:25.373Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-14T22:14:25.373Z] GC before operation: completed in 71.255 ms, heap usage 136.425 MB -> 89.677 MB.
[2026-02-14T22:14:27.117Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:14:28.881Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:14:30.131Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:14:31.887Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:14:33.122Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:14:33.903Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:14:35.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:14:36.358Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:14:36.358Z] 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.
[2026-02-14T22:14:36.358Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:14:36.358Z] Top recommended movies for user id 72:
[2026-02-14T22:14:36.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:14:36.358Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:14:36.358Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:14:36.358Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:14:36.358Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:14:36.358Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (11035.799 ms) ======
[2026-02-14T22:14:36.358Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-14T22:14:36.358Z] GC before operation: completed in 60.026 ms, heap usage 312.209 MB -> 89.859 MB.
[2026-02-14T22:14:38.147Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:14:39.376Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:14:40.152Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:14:41.378Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:14:42.146Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:14:43.355Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:14:44.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:14:44.862Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:14:44.862Z] 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.
[2026-02-14T22:14:44.862Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:14:44.862Z] Top recommended movies for user id 72:
[2026-02-14T22:14:44.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:14:44.862Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:14:44.862Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:14:44.862Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:14:44.862Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:14:44.862Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8516.176 ms) ======
[2026-02-14T22:14:44.862Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-14T22:14:44.862Z] GC before operation: completed in 41.180 ms, heap usage 280.446 MB -> 90.233 MB.
[2026-02-14T22:14:46.074Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:14:47.279Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:14:48.028Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:14:49.241Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:14:49.986Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:14:50.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:14:51.100Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:14:51.859Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:14:51.859Z] 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.
[2026-02-14T22:14:51.859Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:14:51.859Z] Top recommended movies for user id 72:
[2026-02-14T22:14:51.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:14:51.859Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:14:51.859Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:14:51.859Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:14:51.859Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:14:51.859Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (6942.089 ms) ======
[2026-02-14T22:14:51.859Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-14T22:14:51.859Z] GC before operation: completed in 41.654 ms, heap usage 307.872 MB -> 90.337 MB.
[2026-02-14T22:14:53.061Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:14:54.269Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:14:55.474Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:14:56.233Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:14:56.978Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:14:57.729Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:14:58.478Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:14:58.835Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:14:58.836Z] 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.
[2026-02-14T22:14:58.836Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:14:59.185Z] Top recommended movies for user id 72:
[2026-02-14T22:14:59.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:14:59.185Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:14:59.185Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:14:59.185Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:14:59.185Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:14:59.185Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7032.247 ms) ======
[2026-02-14T22:14:59.185Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-14T22:14:59.185Z] GC before operation: completed in 45.658 ms, heap usage 129.695 MB -> 90.956 MB.
[2026-02-14T22:14:59.930Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:15:01.168Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:15:02.399Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:15:03.152Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:15:03.901Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:15:04.666Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:15:05.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:15:06.156Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:15:06.156Z] 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.
[2026-02-14T22:15:06.156Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:15:06.156Z] Top recommended movies for user id 72:
[2026-02-14T22:15:06.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:15:06.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:15:06.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:15:06.156Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:15:06.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:15:06.156Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (7225.957 ms) ======
[2026-02-14T22:15:06.156Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-14T22:15:06.564Z] GC before operation: completed in 47.643 ms, heap usage 232.886 MB -> 90.189 MB.
[2026-02-14T22:15:07.783Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:15:09.021Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:15:10.252Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:15:11.003Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:15:11.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:15:12.517Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:15:13.280Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:15:14.066Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:15:14.066Z] 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.
[2026-02-14T22:15:14.066Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:15:14.066Z] Top recommended movies for user id 72:
[2026-02-14T22:15:14.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:15:14.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:15:14.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:15:14.066Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:15:14.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:15:14.066Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7820.193 ms) ======
[2026-02-14T22:15:14.066Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-14T22:15:14.470Z] GC before operation: completed in 48.380 ms, heap usage 140.882 MB -> 90.421 MB.
[2026-02-14T22:15:15.225Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:15:16.969Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:15:18.724Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:15:19.949Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:15:21.162Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:15:21.917Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:15:22.665Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:15:23.939Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:15:23.939Z] 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.
[2026-02-14T22:15:23.939Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:15:23.939Z] Top recommended movies for user id 72:
[2026-02-14T22:15:23.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:15:23.939Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:15:23.939Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:15:23.939Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:15:23.939Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:15:23.939Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (9661.102 ms) ======
[2026-02-14T22:15:23.939Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-14T22:15:23.939Z] GC before operation: completed in 48.746 ms, heap usage 364.698 MB -> 90.367 MB.
[2026-02-14T22:15:25.699Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:15:26.914Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:15:28.665Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:15:29.901Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:15:31.114Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:15:31.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:15:33.092Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:15:33.867Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:15:34.214Z] 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.
[2026-02-14T22:15:34.214Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:15:34.214Z] Top recommended movies for user id 72:
[2026-02-14T22:15:34.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:15:34.214Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:15:34.214Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:15:34.214Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:15:34.214Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:15:34.214Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10199.021 ms) ======
[2026-02-14T22:15:34.214Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-14T22:15:34.214Z] GC before operation: completed in 57.663 ms, heap usage 428.703 MB -> 90.763 MB.
[2026-02-14T22:15:35.985Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:15:37.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:15:39.583Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:15:40.810Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:15:42.031Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:15:42.790Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:15:44.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:15:44.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:15:45.230Z] 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.
[2026-02-14T22:15:45.230Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:15:45.230Z] Top recommended movies for user id 72:
[2026-02-14T22:15:45.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:15:45.230Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:15:45.230Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:15:45.230Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:15:45.230Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:15:45.230Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11092.378 ms) ======
[2026-02-14T22:15:45.230Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-14T22:15:45.230Z] GC before operation: completed in 78.351 ms, heap usage 137.894 MB -> 90.250 MB.
[2026-02-14T22:15:46.995Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:15:49.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:15:51.203Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:15:52.963Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:15:53.727Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:15:54.951Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:15:56.168Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:15:56.933Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:15:57.303Z] 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.
[2026-02-14T22:15:57.303Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:15:57.303Z] Top recommended movies for user id 72:
[2026-02-14T22:15:57.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:15:57.303Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:15:57.303Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:15:57.303Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:15:57.303Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:15:57.303Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12063.027 ms) ======
[2026-02-14T22:15:57.303Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-14T22:15:57.655Z] GC before operation: completed in 70.615 ms, heap usage 132.310 MB -> 90.118 MB.
[2026-02-14T22:15:59.426Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:16:01.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:16:02.971Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:16:04.220Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:16:05.441Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:16:06.670Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:16:07.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:16:08.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:16:08.723Z] 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.
[2026-02-14T22:16:08.723Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:16:08.723Z] Top recommended movies for user id 72:
[2026-02-14T22:16:08.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:16:08.724Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:16:08.724Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:16:08.724Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:16:08.724Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:16:08.724Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11304.540 ms) ======
[2026-02-14T22:16:08.724Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-14T22:16:08.724Z] GC before operation: completed in 67.445 ms, heap usage 394.603 MB -> 90.689 MB.
[2026-02-14T22:16:10.485Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:16:12.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:16:13.481Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:16:15.301Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:16:16.563Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:16:17.808Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:16:18.573Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:16:19.793Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:16:19.793Z] 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.
[2026-02-14T22:16:20.184Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:16:20.184Z] Top recommended movies for user id 72:
[2026-02-14T22:16:20.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:16:20.184Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:16:20.184Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:16:20.184Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:16:20.184Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:16:20.184Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11220.224 ms) ======
[2026-02-14T22:16:20.184Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-14T22:16:20.184Z] GC before operation: completed in 85.471 ms, heap usage 395.930 MB -> 90.548 MB.
[2026-02-14T22:16:21.948Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:16:24.385Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:16:26.182Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:16:27.409Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:16:28.650Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:16:29.428Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:16:30.642Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:16:31.428Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:16:31.802Z] 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.
[2026-02-14T22:16:31.802Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:16:31.802Z] Top recommended movies for user id 72:
[2026-02-14T22:16:31.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:16:31.802Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:16:31.802Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:16:31.802Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:16:31.802Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:16:31.802Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11588.348 ms) ======
[2026-02-14T22:16:31.802Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-14T22:16:31.802Z] GC before operation: completed in 99.867 ms, heap usage 465.513 MB -> 90.795 MB.
[2026-02-14T22:16:34.195Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:16:36.003Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:16:37.218Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:16:38.980Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:16:40.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:16:41.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:16:42.692Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:16:43.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:16:43.924Z] 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.
[2026-02-14T22:16:43.924Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:16:43.924Z] Top recommended movies for user id 72:
[2026-02-14T22:16:43.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:16:43.924Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:16:43.924Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:16:43.924Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:16:43.924Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:16:43.924Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12136.377 ms) ======
[2026-02-14T22:16:43.924Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-14T22:16:43.924Z] GC before operation: completed in 80.908 ms, heap usage 110.419 MB -> 90.149 MB.
[2026-02-14T22:16:46.307Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:16:47.536Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:16:49.293Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:16:51.056Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:16:51.837Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:16:53.054Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:16:54.288Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:16:55.536Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:16:55.537Z] 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.
[2026-02-14T22:16:55.537Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:16:55.537Z] Top recommended movies for user id 72:
[2026-02-14T22:16:55.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:16:55.537Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:16:55.537Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:16:55.537Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:16:55.537Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:16:55.537Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11533.064 ms) ======
[2026-02-14T22:16:55.537Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-14T22:16:55.537Z] GC before operation: completed in 74.270 ms, heap usage 519.063 MB -> 94.003 MB.
[2026-02-14T22:16:57.914Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T22:16:59.168Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T22:17:01.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T22:17:03.400Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T22:17:04.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T22:17:05.381Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T22:17:06.618Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T22:17:07.411Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T22:17:07.411Z] 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.
[2026-02-14T22:17:07.769Z] The best model improves the baseline by 14.52%.
[2026-02-14T22:17:07.769Z] Top recommended movies for user id 72:
[2026-02-14T22:17:07.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T22:17:07.769Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T22:17:07.769Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T22:17:07.769Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T22:17:07.769Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T22:17:07.769Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12009.572 ms) ======
[2026-02-14T22:17:08.118Z] -----------------------------------
[2026-02-14T22:17:08.118Z] renaissance-movie-lens_0_PASSED
[2026-02-14T22:17:08.118Z] -----------------------------------
[2026-02-14T22:17:08.118Z]
[2026-02-14T22:17:08.118Z] TEST TEARDOWN:
[2026-02-14T22:17:08.118Z] Nothing to be done for teardown.
[2026-02-14T22:17:08.118Z] renaissance-movie-lens_0 Finish Time: Sat Feb 14 17:17:07 2026 Epoch Time (ms): 1771107427988