renaissance-movie-lens_0
[2026-02-05T22:30:31.024Z] Running test renaissance-movie-lens_0 ...
[2026-02-05T22:30:31.024Z] ===============================================
[2026-02-05T22:30:31.024Z] renaissance-movie-lens_0 Start Time: Thu Feb 5 17:30:30 2026 Epoch Time (ms): 1770330630800
[2026-02-05T22:30:31.024Z] variation: NoOptions
[2026-02-05T22:30:31.024Z] JVM_OPTIONS:
[2026-02-05T22:30:31.024Z] { \
[2026-02-05T22:30:31.024Z] echo ""; echo "TEST SETUP:"; \
[2026-02-05T22:30:31.024Z] echo "Nothing to be done for setup."; \
[2026-02-05T22:30:31.024Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17703300652813/renaissance-movie-lens_0"; \
[2026-02-05T22:30:31.024Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17703300652813/renaissance-movie-lens_0"; \
[2026-02-05T22:30:31.024Z] echo ""; echo "TESTING:"; \
[2026-02-05T22:30:31.024Z] "/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_17703300652813/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-05T22:30:31.024Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17703300652813/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-05T22:30:31.024Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-05T22:30:31.024Z] echo "Nothing to be done for teardown."; \
[2026-02-05T22:30:31.024Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17703300652813/TestTargetResult";
[2026-02-05T22:30:31.024Z]
[2026-02-05T22:30:31.024Z] TEST SETUP:
[2026-02-05T22:30:31.024Z] Nothing to be done for setup.
[2026-02-05T22:30:31.024Z]
[2026-02-05T22:30:31.024Z] TESTING:
[2026-02-05T22:30:31.381Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-05T22:30:31.381Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17703300652813/renaissance-movie-lens_0/launcher-173030-8125871423897353664/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-05T22:30:31.381Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-05T22:30:31.381Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-05T22:30:36.423Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-05T22:30:41.484Z] 17:30:40.696 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-05T22:30:42.287Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-05T22:30:42.644Z] Training: 60056, validation: 20285, test: 19854
[2026-02-05T22:30:42.644Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-05T22:30:42.644Z] GC before operation: completed in 76.960 ms, heap usage 282.058 MB -> 75.751 MB.
[2026-02-05T22:30:46.779Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:30:50.005Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:30:52.451Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:30:54.962Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:30:56.252Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:30:58.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:30:59.369Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:31:00.656Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:31:00.656Z] 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.
[2026-02-05T22:31:01.018Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:31:01.018Z] Top recommended movies for user id 72:
[2026-02-05T22:31:01.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:31:01.018Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:31:01.018Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:31:01.018Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:31:01.018Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:31:01.018Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (18463.405 ms) ======
[2026-02-05T22:31:01.018Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-05T22:31:01.018Z] GC before operation: completed in 110.787 ms, heap usage 307.234 MB -> 86.505 MB.
[2026-02-05T22:31:04.285Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:31:06.093Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:31:08.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:31:10.370Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:31:11.608Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:31:12.525Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:31:13.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:31:15.094Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:31:15.094Z] 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.
[2026-02-05T22:31:15.496Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:31:15.496Z] Top recommended movies for user id 72:
[2026-02-05T22:31:15.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:31:15.496Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:31:15.496Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:31:15.496Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:31:15.496Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:31:15.496Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14331.455 ms) ======
[2026-02-05T22:31:15.496Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-05T22:31:15.496Z] GC before operation: completed in 95.033 ms, heap usage 123.850 MB -> 88.417 MB.
[2026-02-05T22:31:17.341Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:31:19.167Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:31:21.070Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:31:22.361Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:31:23.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:31:24.447Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:31:25.767Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:31:27.049Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:31:27.049Z] 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.
[2026-02-05T22:31:27.049Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:31:27.049Z] Top recommended movies for user id 72:
[2026-02-05T22:31:27.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:31:27.049Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:31:27.049Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:31:27.049Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:31:27.049Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:31:27.049Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (11468.705 ms) ======
[2026-02-05T22:31:27.049Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-05T22:31:27.049Z] GC before operation: completed in 59.834 ms, heap usage 426.401 MB -> 89.549 MB.
[2026-02-05T22:31:28.892Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:31:30.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:31:31.978Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:31:34.424Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:31:35.244Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:31:37.048Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:31:37.813Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:31:38.604Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:31:38.966Z] 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.
[2026-02-05T22:31:38.966Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:31:38.966Z] Top recommended movies for user id 72:
[2026-02-05T22:31:38.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:31:38.966Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:31:38.966Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:31:38.966Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:31:38.966Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:31:38.966Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (11928.867 ms) ======
[2026-02-05T22:31:38.966Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-05T22:31:38.966Z] GC before operation: completed in 71.598 ms, heap usage 436.009 MB -> 89.918 MB.
[2026-02-05T22:31:40.755Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:31:43.197Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:31:44.442Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:31:46.864Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:31:48.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:31:48.879Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:31:50.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:31:50.935Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:31:51.311Z] 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.
[2026-02-05T22:31:51.311Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:31:51.311Z] Top recommended movies for user id 72:
[2026-02-05T22:31:51.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:31:51.311Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:31:51.311Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:31:51.311Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:31:51.311Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:31:51.311Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (12284.595 ms) ======
[2026-02-05T22:31:51.311Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-05T22:31:51.311Z] GC before operation: completed in 52.880 ms, heap usage 467.915 MB -> 89.871 MB.
[2026-02-05T22:31:53.173Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:31:54.966Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:31:56.837Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:31:58.623Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:31:59.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:32:00.712Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:32:01.517Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:32:02.299Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:32:02.299Z] 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.
[2026-02-05T22:32:02.299Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:32:02.299Z] Top recommended movies for user id 72:
[2026-02-05T22:32:02.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:32:02.299Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:32:02.299Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:32:02.299Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:32:02.299Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:32:02.299Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (11014.510 ms) ======
[2026-02-05T22:32:02.299Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-05T22:32:02.674Z] GC before operation: completed in 75.500 ms, heap usage 520.849 MB -> 93.537 MB.
[2026-02-05T22:32:04.486Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:32:06.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:32:07.556Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:32:09.349Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:32:10.594Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:32:11.381Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:32:12.634Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:32:13.416Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:32:13.782Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:32:13.782Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:32:13.782Z] Top recommended movies for user id 72:
[2026-02-05T22:32:13.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:32:13.782Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:32:13.782Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:32:13.782Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:32:13.782Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:32:13.782Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (11240.108 ms) ======
[2026-02-05T22:32:13.782Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-05T22:32:13.782Z] GC before operation: completed in 84.812 ms, heap usage 252.777 MB -> 89.838 MB.
[2026-02-05T22:32:16.992Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:32:18.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:32:20.060Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:32:21.866Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:32:23.110Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:32:23.884Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:32:25.121Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:32:26.403Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:32:26.404Z] 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.
[2026-02-05T22:32:26.404Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:32:26.404Z] Top recommended movies for user id 72:
[2026-02-05T22:32:26.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:32:26.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:32:26.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:32:26.404Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:32:26.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:32:26.404Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (12571.741 ms) ======
[2026-02-05T22:32:26.404Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-05T22:32:26.404Z] GC before operation: completed in 108.679 ms, heap usage 163.736 MB -> 91.080 MB.
[2026-02-05T22:32:28.812Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:32:30.608Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:32:32.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:32:33.811Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:32:35.072Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:32:36.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:32:37.606Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:32:38.510Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:32:38.510Z] 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.
[2026-02-05T22:32:38.510Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:32:38.893Z] Top recommended movies for user id 72:
[2026-02-05T22:32:38.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:32:38.893Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:32:38.893Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:32:38.893Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:32:38.893Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:32:38.893Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12210.244 ms) ======
[2026-02-05T22:32:38.893Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-05T22:32:38.893Z] GC before operation: completed in 114.385 ms, heap usage 239.176 MB -> 89.806 MB.
[2026-02-05T22:32:40.694Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:32:42.501Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:32:44.364Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:32:45.633Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:32:47.459Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:32:48.241Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:32:49.032Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:32:50.270Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:32:50.270Z] 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.
[2026-02-05T22:32:50.270Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:32:50.631Z] Top recommended movies for user id 72:
[2026-02-05T22:32:50.632Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:32:50.632Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:32:50.632Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:32:50.632Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:32:50.632Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:32:50.632Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11643.596 ms) ======
[2026-02-05T22:32:50.632Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-05T22:32:50.632Z] GC before operation: completed in 100.149 ms, heap usage 588.775 MB -> 93.765 MB.
[2026-02-05T22:32:53.182Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:32:54.433Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:32:56.235Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:32:58.038Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:32:58.816Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:33:00.106Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:33:01.392Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:33:02.205Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:33:02.205Z] 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.
[2026-02-05T22:33:02.205Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:33:02.575Z] Top recommended movies for user id 72:
[2026-02-05T22:33:02.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:33:02.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:33:02.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:33:02.575Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:33:02.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:33:02.575Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11895.455 ms) ======
[2026-02-05T22:33:02.575Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-05T22:33:02.575Z] GC before operation: completed in 78.526 ms, heap usage 121.303 MB -> 89.655 MB.
[2026-02-05T22:33:04.417Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:33:06.216Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:33:08.011Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:33:09.818Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:33:11.067Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:33:12.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:33:13.105Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:33:13.887Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:33:14.246Z] 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.
[2026-02-05T22:33:14.246Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:33:14.246Z] Top recommended movies for user id 72:
[2026-02-05T22:33:14.246Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:33:14.246Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:33:14.246Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:33:14.246Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:33:14.246Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:33:14.246Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11750.595 ms) ======
[2026-02-05T22:33:14.246Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-05T22:33:14.246Z] GC before operation: completed in 84.329 ms, heap usage 419.466 MB -> 90.279 MB.
[2026-02-05T22:33:16.685Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:33:18.532Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:33:20.327Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:33:22.885Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:33:23.710Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:33:24.514Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:33:25.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:33:27.081Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:33:27.081Z] 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.
[2026-02-05T22:33:27.081Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:33:27.081Z] Top recommended movies for user id 72:
[2026-02-05T22:33:27.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:33:27.081Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:33:27.081Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:33:27.081Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:33:27.081Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:33:27.081Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12719.060 ms) ======
[2026-02-05T22:33:27.081Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-05T22:33:27.081Z] GC before operation: completed in 72.564 ms, heap usage 110.473 MB -> 89.953 MB.
[2026-02-05T22:33:29.508Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:33:31.290Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:33:32.558Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:33:34.348Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:33:35.615Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:33:36.425Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:33:37.730Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:33:38.529Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:33:38.895Z] 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.
[2026-02-05T22:33:38.895Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:33:38.895Z] Top recommended movies for user id 72:
[2026-02-05T22:33:38.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:33:38.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:33:38.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:33:38.895Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:33:38.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:33:38.895Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11633.133 ms) ======
[2026-02-05T22:33:38.895Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-05T22:33:38.895Z] GC before operation: completed in 86.387 ms, heap usage 514.671 MB -> 90.276 MB.
[2026-02-05T22:33:40.685Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:33:42.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:33:44.398Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:33:46.257Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:33:47.770Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:33:48.557Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:33:49.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:33:51.164Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:33:51.164Z] 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.
[2026-02-05T22:33:51.164Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:33:51.164Z] Top recommended movies for user id 72:
[2026-02-05T22:33:51.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:33:51.164Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:33:51.164Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:33:51.164Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:33:51.164Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:33:51.164Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12285.220 ms) ======
[2026-02-05T22:33:51.164Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-05T22:33:51.802Z] GC before operation: completed in 116.559 ms, heap usage 249.464 MB -> 90.147 MB.
[2026-02-05T22:33:53.615Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:33:55.424Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:33:57.830Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:33:59.092Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:34:00.329Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:34:01.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:34:02.367Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:34:03.745Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:34:03.745Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:34:03.745Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:34:04.131Z] Top recommended movies for user id 72:
[2026-02-05T22:34:04.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:34:04.131Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:34:04.131Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:34:04.131Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:34:04.131Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:34:04.131Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12640.522 ms) ======
[2026-02-05T22:34:04.132Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-05T22:34:04.132Z] GC before operation: completed in 74.492 ms, heap usage 251.158 MB -> 90.052 MB.
[2026-02-05T22:34:06.032Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:34:07.949Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:34:10.414Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:34:12.225Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:34:13.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:34:14.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:34:15.042Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:34:15.822Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:34:16.207Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:34:16.208Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:34:16.208Z] Top recommended movies for user id 72:
[2026-02-05T22:34:16.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:34:16.208Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:34:16.208Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:34:16.208Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:34:16.208Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:34:16.208Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12237.759 ms) ======
[2026-02-05T22:34:16.208Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-05T22:34:16.571Z] GC before operation: completed in 107.939 ms, heap usage 226.344 MB -> 90.021 MB.
[2026-02-05T22:34:18.392Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:34:20.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:34:22.131Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:34:23.920Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:34:25.197Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:34:26.454Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:34:27.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:34:28.964Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:34:28.964Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:34:28.964Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:34:29.323Z] Top recommended movies for user id 72:
[2026-02-05T22:34:29.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:34:29.323Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:34:29.323Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:34:29.323Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:34:29.323Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:34:29.323Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12803.160 ms) ======
[2026-02-05T22:34:29.323Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-05T22:34:29.323Z] GC before operation: completed in 102.116 ms, heap usage 243.673 MB -> 89.921 MB.
[2026-02-05T22:34:31.120Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:34:32.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:34:34.745Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:34:36.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:34:37.779Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:34:39.031Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:34:40.276Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:34:41.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:34:41.507Z] 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.
[2026-02-05T22:34:41.507Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:34:41.868Z] Top recommended movies for user id 72:
[2026-02-05T22:34:41.868Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:34:41.868Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:34:41.868Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:34:41.868Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:34:41.868Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:34:41.868Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12473.303 ms) ======
[2026-02-05T22:34:41.868Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-05T22:34:41.868Z] GC before operation: completed in 102.741 ms, heap usage 169.549 MB -> 90.035 MB.
[2026-02-05T22:34:44.315Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:34:46.163Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:34:48.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:34:49.258Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:34:50.524Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:34:51.791Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:34:53.051Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:34:54.326Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:34:54.326Z] 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.
[2026-02-05T22:34:54.326Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:34:54.326Z] Top recommended movies for user id 72:
[2026-02-05T22:34:54.326Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:34:54.326Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:34:54.326Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:34:54.326Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:34:54.326Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:34:54.326Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12599.433 ms) ======
[2026-02-05T22:34:55.106Z] -----------------------------------
[2026-02-05T22:34:55.106Z] renaissance-movie-lens_0_PASSED
[2026-02-05T22:34:55.106Z] -----------------------------------
[2026-02-05T22:34:55.106Z]
[2026-02-05T22:34:55.106Z] TEST TEARDOWN:
[2026-02-05T22:34:55.106Z] Nothing to be done for teardown.
[2026-02-05T22:34:55.106Z] renaissance-movie-lens_0 Finish Time: Thu Feb 5 17:34:54 2026 Epoch Time (ms): 1770330894725