renaissance-movie-lens_0
[2026-02-26T22:18:41.554Z] Running test renaissance-movie-lens_0 ...
[2026-02-26T22:18:41.554Z] ===============================================
[2026-02-26T22:18:41.554Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 17:18:41 2026 Epoch Time (ms): 1772144321274
[2026-02-26T22:18:41.554Z] variation: NoOptions
[2026-02-26T22:18:41.554Z] JVM_OPTIONS:
[2026-02-26T22:18:41.554Z] { \
[2026-02-26T22:18:41.554Z] echo ""; echo "TEST SETUP:"; \
[2026-02-26T22:18:41.554Z] echo "Nothing to be done for setup."; \
[2026-02-26T22:18:41.554Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17721439237936/renaissance-movie-lens_0"; \
[2026-02-26T22:18:41.554Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17721439237936/renaissance-movie-lens_0"; \
[2026-02-26T22:18:41.554Z] echo ""; echo "TESTING:"; \
[2026-02-26T22:18:41.554Z] "/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_17721439237936/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-26T22:18:41.554Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17721439237936/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-26T22:18:41.554Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-26T22:18:41.554Z] echo "Nothing to be done for teardown."; \
[2026-02-26T22:18:41.554Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17721439237936/TestTargetResult";
[2026-02-26T22:18:41.554Z]
[2026-02-26T22:18:41.554Z] TEST SETUP:
[2026-02-26T22:18:41.554Z] Nothing to be done for setup.
[2026-02-26T22:18:41.554Z]
[2026-02-26T22:18:41.554Z] TESTING:
[2026-02-26T22:18:41.932Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-26T22:18:41.932Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17721439237936/renaissance-movie-lens_0/launcher-171841-18075737777092446801/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-26T22:18:41.932Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-26T22:18:41.932Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-26T22:18:45.904Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-26T22:18:49.880Z] 17:18:49.220 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.
[2026-02-26T22:18:50.701Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-26T22:18:50.701Z] Training: 60056, validation: 20285, test: 19854
[2026-02-26T22:18:50.701Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-26T22:18:50.701Z] GC before operation: completed in 77.276 ms, heap usage 203.670 MB -> 75.821 MB.
[2026-02-26T22:18:54.720Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:18:56.534Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:18:58.319Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:19:00.233Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:19:01.535Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:19:02.762Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:19:04.020Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:19:05.278Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:19:05.278Z] 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.
[2026-02-26T22:19:05.278Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:19:05.278Z] Top recommended movies for user id 72:
[2026-02-26T22:19:05.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:19:05.278Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:19:05.278Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:19:05.278Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:19:05.278Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:19:05.278Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14576.035 ms) ======
[2026-02-26T22:19:05.278Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-26T22:19:05.637Z] GC before operation: completed in 78.811 ms, heap usage 448.053 MB -> 87.928 MB.
[2026-02-26T22:19:07.430Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:19:09.852Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:19:11.659Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:19:13.477Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:19:14.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:19:15.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:19:16.745Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:19:17.997Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:19:18.352Z] 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.
[2026-02-26T22:19:18.352Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:19:18.352Z] Top recommended movies for user id 72:
[2026-02-26T22:19:18.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:19:18.352Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:19:18.352Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:19:18.352Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:19:18.352Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:19:18.352Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (12800.372 ms) ======
[2026-02-26T22:19:18.352Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-26T22:19:18.352Z] GC before operation: completed in 78.768 ms, heap usage 365.871 MB -> 88.874 MB.
[2026-02-26T22:19:20.150Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:19:21.957Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:19:24.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:19:25.749Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:19:26.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:19:28.230Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:19:29.455Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:19:30.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:19:30.669Z] 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.
[2026-02-26T22:19:30.669Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:19:30.669Z] Top recommended movies for user id 72:
[2026-02-26T22:19:30.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:19:30.669Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:19:30.669Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:19:30.669Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:19:30.669Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:19:30.669Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (12291.518 ms) ======
[2026-02-26T22:19:30.669Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-26T22:19:30.669Z] GC before operation: completed in 65.781 ms, heap usage 122.295 MB -> 89.225 MB.
[2026-02-26T22:19:32.456Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:19:34.238Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:19:36.025Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:19:37.837Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:19:39.072Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:19:39.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:19:41.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:19:42.447Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:19:42.447Z] 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.
[2026-02-26T22:19:42.447Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:19:42.447Z] Top recommended movies for user id 72:
[2026-02-26T22:19:42.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:19:42.447Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:19:42.447Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:19:42.447Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:19:42.447Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:19:42.447Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (11759.240 ms) ======
[2026-02-26T22:19:42.447Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-26T22:19:42.447Z] GC before operation: completed in 68.082 ms, heap usage 166.719 MB -> 90.755 MB.
[2026-02-26T22:19:44.281Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:19:46.048Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:19:47.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:19:49.603Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:19:50.424Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:19:51.658Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:19:52.949Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:19:54.184Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:19:54.184Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T22:19:54.184Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:19:54.184Z] Top recommended movies for user id 72:
[2026-02-26T22:19:54.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:19:54.184Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:19:54.184Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:19:54.184Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:19:54.184Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:19:54.184Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (11664.450 ms) ======
[2026-02-26T22:19:54.184Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-26T22:19:54.184Z] GC before operation: completed in 74.671 ms, heap usage 235.772 MB -> 89.579 MB.
[2026-02-26T22:19:56.015Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:19:58.486Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:19:59.709Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:20:00.960Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:20:02.232Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:20:03.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:20:04.340Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:20:05.161Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:20:05.522Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T22:20:05.522Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:20:05.522Z] Top recommended movies for user id 72:
[2026-02-26T22:20:05.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:20:05.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:20:05.522Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:20:05.522Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:20:05.522Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:20:05.522Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (11143.251 ms) ======
[2026-02-26T22:20:05.522Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-26T22:20:05.522Z] GC before operation: completed in 77.717 ms, heap usage 260.313 MB -> 89.941 MB.
[2026-02-26T22:20:07.298Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:20:09.092Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:20:10.910Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:20:12.177Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:20:13.421Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:20:14.196Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:20:15.417Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:20:16.179Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:20:16.534Z] 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.
[2026-02-26T22:20:16.534Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:20:16.534Z] Top recommended movies for user id 72:
[2026-02-26T22:20:16.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:20:16.534Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:20:16.534Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:20:16.534Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:20:16.534Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:20:16.534Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (11000.291 ms) ======
[2026-02-26T22:20:16.534Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-26T22:20:16.534Z] GC before operation: completed in 71.805 ms, heap usage 244.825 MB -> 89.872 MB.
[2026-02-26T22:20:18.303Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:20:20.065Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:20:21.876Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:20:23.659Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:20:24.435Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:20:25.673Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:20:26.448Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:20:27.687Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:20:27.687Z] 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.
[2026-02-26T22:20:27.687Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:20:28.043Z] Top recommended movies for user id 72:
[2026-02-26T22:20:28.043Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:20:28.043Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:20:28.043Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:20:28.043Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:20:28.043Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:20:28.043Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (11321.242 ms) ======
[2026-02-26T22:20:28.043Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-26T22:20:28.043Z] GC before operation: completed in 67.916 ms, heap usage 295.191 MB -> 90.207 MB.
[2026-02-26T22:20:29.807Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:20:31.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:20:32.296Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:20:34.711Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:20:35.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:20:36.727Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:20:37.950Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:20:38.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:20:38.726Z] 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.
[2026-02-26T22:20:38.726Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:20:39.079Z] Top recommended movies for user id 72:
[2026-02-26T22:20:39.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:20:39.079Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:20:39.079Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:20:39.079Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:20:39.079Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:20:39.079Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (10972.346 ms) ======
[2026-02-26T22:20:39.079Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-26T22:20:39.079Z] GC before operation: completed in 72.983 ms, heap usage 364.413 MB -> 90.122 MB.
[2026-02-26T22:20:40.861Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:20:43.276Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:20:45.082Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:20:46.303Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:20:47.536Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:20:48.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:20:49.633Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:20:50.888Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:20:50.888Z] 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.
[2026-02-26T22:20:50.888Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:20:50.888Z] Top recommended movies for user id 72:
[2026-02-26T22:20:50.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:20:50.888Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:20:50.888Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:20:50.888Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:20:50.888Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:20:50.888Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11843.453 ms) ======
[2026-02-26T22:20:50.888Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-26T22:20:50.888Z] GC before operation: completed in 64.277 ms, heap usage 423.068 MB -> 90.541 MB.
[2026-02-26T22:20:52.673Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:20:53.912Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:20:55.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:20:57.510Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:20:58.275Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:20:59.500Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:21:00.744Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:21:02.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:21:02.028Z] 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.
[2026-02-26T22:21:02.028Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:21:02.028Z] Top recommended movies for user id 72:
[2026-02-26T22:21:02.028Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:21:02.028Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:21:02.028Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:21:02.028Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:21:02.028Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:21:02.028Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11205.776 ms) ======
[2026-02-26T22:21:02.028Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-26T22:21:02.387Z] GC before operation: completed in 76.285 ms, heap usage 252.030 MB -> 89.950 MB.
[2026-02-26T22:21:04.160Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:21:05.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:21:07.686Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:21:09.466Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:21:10.730Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:21:11.501Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:21:12.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:21:13.990Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:21:13.990Z] 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.
[2026-02-26T22:21:13.990Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:21:13.990Z] Top recommended movies for user id 72:
[2026-02-26T22:21:13.990Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:21:13.990Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:21:13.990Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:21:13.990Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:21:13.990Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:21:13.990Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11803.490 ms) ======
[2026-02-26T22:21:13.990Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-26T22:21:13.990Z] GC before operation: completed in 77.540 ms, heap usage 489.907 MB -> 90.580 MB.
[2026-02-26T22:21:16.427Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:21:18.258Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:21:20.061Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:21:21.320Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:21:22.581Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:21:23.816Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:21:25.091Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:21:25.883Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:21:26.235Z] 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.
[2026-02-26T22:21:26.235Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:21:26.235Z] Top recommended movies for user id 72:
[2026-02-26T22:21:26.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:21:26.235Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:21:26.235Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:21:26.235Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:21:26.235Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:21:26.235Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12108.731 ms) ======
[2026-02-26T22:21:26.235Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-26T22:21:26.235Z] GC before operation: completed in 73.117 ms, heap usage 312.038 MB -> 90.369 MB.
[2026-02-26T22:21:28.018Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:21:29.797Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:21:32.210Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:21:33.438Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:21:34.665Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:21:35.911Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:21:36.694Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:21:37.987Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:21:37.987Z] 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.
[2026-02-26T22:21:37.987Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:21:38.353Z] Top recommended movies for user id 72:
[2026-02-26T22:21:38.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:21:38.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:21:38.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:21:38.353Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:21:38.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:21:38.353Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11941.709 ms) ======
[2026-02-26T22:21:38.353Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-26T22:21:38.353Z] GC before operation: completed in 86.843 ms, heap usage 244.050 MB -> 90.157 MB.
[2026-02-26T22:21:40.173Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:21:41.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:21:43.806Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:21:45.040Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:21:46.276Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:21:47.504Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:21:48.283Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:21:49.512Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:21:49.512Z] 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.
[2026-02-26T22:21:49.512Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:21:49.883Z] Top recommended movies for user id 72:
[2026-02-26T22:21:49.883Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:21:49.883Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:21:49.883Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:21:49.883Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:21:49.883Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:21:49.883Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11353.322 ms) ======
[2026-02-26T22:21:49.883Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-26T22:21:49.883Z] GC before operation: completed in 71.691 ms, heap usage 159.473 MB -> 90.318 MB.
[2026-02-26T22:21:51.670Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:21:53.480Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:21:55.328Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:21:56.582Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:21:57.858Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:21:58.643Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:21:59.889Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:22:00.724Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:22:01.079Z] 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.
[2026-02-26T22:22:01.079Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:22:01.079Z] Top recommended movies for user id 72:
[2026-02-26T22:22:01.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:22:01.080Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:22:01.080Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:22:01.080Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:22:01.080Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:22:01.080Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11298.757 ms) ======
[2026-02-26T22:22:01.080Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-26T22:22:01.080Z] GC before operation: completed in 76.924 ms, heap usage 133.498 MB -> 91.118 MB.
[2026-02-26T22:22:02.870Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:22:04.729Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:22:06.549Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:22:08.355Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:22:09.160Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:22:09.946Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:22:11.203Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:22:12.454Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:22:12.454Z] 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.
[2026-02-26T22:22:12.454Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:22:12.454Z] Top recommended movies for user id 72:
[2026-02-26T22:22:12.454Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:22:12.454Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:22:12.454Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:22:12.454Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:22:12.454Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:22:12.454Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11337.495 ms) ======
[2026-02-26T22:22:12.454Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-26T22:22:12.454Z] GC before operation: completed in 84.115 ms, heap usage 277.326 MB -> 90.367 MB.
[2026-02-26T22:22:14.257Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:22:16.069Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:22:17.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:22:19.717Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:22:20.513Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:22:21.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:22:22.653Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:22:23.920Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:22:23.920Z] 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.
[2026-02-26T22:22:23.920Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:22:23.920Z] Top recommended movies for user id 72:
[2026-02-26T22:22:23.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:22:23.920Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:22:23.920Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:22:23.920Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:22:23.920Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:22:23.920Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11358.861 ms) ======
[2026-02-26T22:22:23.920Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-26T22:22:23.920Z] GC before operation: completed in 60.619 ms, heap usage 200.922 MB -> 90.084 MB.
[2026-02-26T22:22:25.808Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:22:27.618Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:22:29.396Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:22:31.250Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:22:32.106Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:22:32.896Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:22:34.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:22:35.433Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:22:35.433Z] 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.
[2026-02-26T22:22:35.433Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:22:35.433Z] Top recommended movies for user id 72:
[2026-02-26T22:22:35.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:22:35.433Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:22:35.433Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:22:35.433Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:22:35.433Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:22:35.433Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11486.900 ms) ======
[2026-02-26T22:22:35.433Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-26T22:22:35.433Z] GC before operation: completed in 69.217 ms, heap usage 152.753 MB -> 91.974 MB.
[2026-02-26T22:22:37.228Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:22:39.042Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:22:40.839Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:22:42.652Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:22:43.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:22:44.699Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:22:45.950Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:22:46.720Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:22:47.093Z] 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.
[2026-02-26T22:22:47.093Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:22:47.093Z] Top recommended movies for user id 72:
[2026-02-26T22:22:47.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:22:47.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:22:47.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:22:47.093Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:22:47.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:22:47.093Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11593.329 ms) ======
[2026-02-26T22:22:47.901Z] -----------------------------------
[2026-02-26T22:22:47.901Z] renaissance-movie-lens_0_PASSED
[2026-02-26T22:22:47.901Z] -----------------------------------
[2026-02-26T22:22:47.901Z]
[2026-02-26T22:22:47.901Z] TEST TEARDOWN:
[2026-02-26T22:22:47.901Z] Nothing to be done for teardown.
[2026-02-26T22:22:47.901Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 17:22:47 2026 Epoch Time (ms): 1772144567592