renaissance-movie-lens_0
[2026-01-17T14:12:11.595Z] Running test renaissance-movie-lens_0 ...
[2026-01-17T14:12:11.595Z] ===============================================
[2026-01-17T14:12:11.595Z] renaissance-movie-lens_0 Start Time: Sat Jan 17 14:12:11 2026 Epoch Time (ms): 1768659131009
[2026-01-17T14:12:11.595Z] variation: NoOptions
[2026-01-17T14:12:11.595Z] JVM_OPTIONS:
[2026-01-17T14:12:11.595Z] { \
[2026-01-17T14:12:11.595Z] echo ""; echo "TEST SETUP:"; \
[2026-01-17T14:12:11.595Z] echo "Nothing to be done for setup."; \
[2026-01-17T14:12:11.595Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17686573425732/renaissance-movie-lens_0"; \
[2026-01-17T14:12:11.595Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17686573425732/renaissance-movie-lens_0"; \
[2026-01-17T14:12:11.595Z] echo ""; echo "TESTING:"; \
[2026-01-17T14:12:11.595Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17686573425732/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-17T14:12:11.596Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17686573425732/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-17T14:12:11.596Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-17T14:12:11.596Z] echo "Nothing to be done for teardown."; \
[2026-01-17T14:12:11.596Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17686573425732/TestTargetResult";
[2026-01-17T14:12:11.596Z]
[2026-01-17T14:12:11.596Z] TEST SETUP:
[2026-01-17T14:12:11.596Z] Nothing to be done for setup.
[2026-01-17T14:12:11.596Z]
[2026-01-17T14:12:11.596Z] TESTING:
[2026-01-17T14:12:12.560Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-17T14:12:12.560Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17686573425732/renaissance-movie-lens_0/launcher-141211-10644461604619153175/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-17T14:12:12.560Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-17T14:12:12.560Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-17T14:12:20.802Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-17T14:12:36.936Z] 14:12:34.650 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-17T14:12:38.928Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-17T14:12:39.904Z] Training: 60056, validation: 20285, test: 19854
[2026-01-17T14:12:39.904Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-17T14:12:40.880Z] GC before operation: completed in 222.349 ms, heap usage 367.935 MB -> 75.972 MB.
[2026-01-17T14:12:54.733Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:13:02.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:13:09.601Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:13:16.656Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:13:19.834Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:13:24.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:13:28.644Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:13:32.026Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:13:32.990Z] 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.
[2026-01-17T14:13:32.990Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:13:32.990Z] Top recommended movies for user id 72:
[2026-01-17T14:13:32.990Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:13:32.990Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:13:32.990Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:13:32.990Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:13:32.991Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:13:32.991Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (52606.915 ms) ======
[2026-01-17T14:13:32.991Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-17T14:13:32.991Z] GC before operation: completed in 246.989 ms, heap usage 113.130 MB -> 86.548 MB.
[2026-01-17T14:13:40.163Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:13:45.928Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:13:51.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:13:58.299Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:14:01.702Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:14:05.119Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:14:09.534Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:14:12.908Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:14:12.908Z] 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.
[2026-01-17T14:14:12.908Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:14:12.908Z] Top recommended movies for user id 72:
[2026-01-17T14:14:12.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:14:12.908Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:14:12.908Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:14:12.908Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:14:12.908Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:14:12.908Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (39959.012 ms) ======
[2026-01-17T14:14:12.908Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-17T14:14:13.872Z] GC before operation: completed in 312.213 ms, heap usage 416.558 MB -> 89.090 MB.
[2026-01-17T14:14:19.603Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:14:25.075Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:14:30.554Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:14:35.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:14:38.985Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:14:40.975Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:14:44.581Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:14:47.807Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:14:47.807Z] 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.
[2026-01-17T14:14:47.807Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:14:47.807Z] Top recommended movies for user id 72:
[2026-01-17T14:14:47.807Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:14:47.807Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:14:47.807Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:14:47.807Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:14:47.807Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:14:47.807Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (34595.021 ms) ======
[2026-01-17T14:14:47.807Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-17T14:14:48.766Z] GC before operation: completed in 318.489 ms, heap usage 191.555 MB -> 89.460 MB.
[2026-01-17T14:14:55.391Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:14:59.630Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:15:03.859Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:15:09.797Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:15:11.802Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:15:14.936Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:15:18.011Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:15:21.252Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:15:21.252Z] 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.
[2026-01-17T14:15:21.252Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:15:22.220Z] Top recommended movies for user id 72:
[2026-01-17T14:15:22.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:15:22.220Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:15:22.220Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:15:22.220Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:15:22.220Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:15:22.220Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (33216.004 ms) ======
[2026-01-17T14:15:22.220Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-17T14:15:22.220Z] GC before operation: completed in 288.204 ms, heap usage 180.106 MB -> 89.576 MB.
[2026-01-17T14:15:28.078Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:15:33.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:15:39.724Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:15:45.985Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:15:47.980Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:15:51.200Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:15:54.268Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:15:57.448Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:15:57.448Z] 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.
[2026-01-17T14:15:57.448Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:15:58.412Z] Top recommended movies for user id 72:
[2026-01-17T14:15:58.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:15:58.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:15:58.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:15:58.412Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:15:58.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:15:58.412Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (36015.954 ms) ======
[2026-01-17T14:15:58.412Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-17T14:15:58.412Z] GC before operation: completed in 225.299 ms, heap usage 445.002 MB -> 89.938 MB.
[2026-01-17T14:16:04.169Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:16:08.638Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:16:12.964Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:16:18.609Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:16:21.679Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:16:24.811Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:16:28.009Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:16:31.079Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:16:31.079Z] 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.
[2026-01-17T14:16:31.079Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:16:31.079Z] Top recommended movies for user id 72:
[2026-01-17T14:16:31.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:16:31.079Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:16:31.079Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:16:31.079Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:16:31.079Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:16:31.079Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (33107.696 ms) ======
[2026-01-17T14:16:31.079Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-17T14:16:32.244Z] GC before operation: completed in 273.188 ms, heap usage 451.129 MB -> 90.217 MB.
[2026-01-17T14:16:36.450Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:16:41.241Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:16:45.664Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:16:49.887Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:16:52.946Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:16:56.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:16:59.082Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:17:01.237Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:17:02.210Z] 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.
[2026-01-17T14:17:02.210Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:17:02.210Z] Top recommended movies for user id 72:
[2026-01-17T14:17:02.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:17:02.210Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:17:02.210Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:17:02.210Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:17:02.210Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:17:02.210Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (30392.361 ms) ======
[2026-01-17T14:17:02.210Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-17T14:17:02.210Z] GC before operation: completed in 313.666 ms, heap usage 113.588 MB -> 93.349 MB.
[2026-01-17T14:17:07.657Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:17:10.797Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:17:14.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:17:20.447Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:17:22.430Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:17:25.483Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:17:28.011Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:17:30.286Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:17:30.286Z] 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.
[2026-01-17T14:17:30.286Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:17:31.253Z] Top recommended movies for user id 72:
[2026-01-17T14:17:31.253Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:17:31.253Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:17:31.253Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:17:31.253Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:17:31.253Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:17:31.253Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28529.038 ms) ======
[2026-01-17T14:17:31.253Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-17T14:17:31.253Z] GC before operation: completed in 256.473 ms, heap usage 256.464 MB -> 90.141 MB.
[2026-01-17T14:17:35.455Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:17:39.675Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:17:43.898Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:17:48.135Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:17:50.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:17:53.185Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:17:55.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:17:58.254Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:17:58.254Z] 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.
[2026-01-17T14:17:59.228Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:17:59.228Z] Top recommended movies for user id 72:
[2026-01-17T14:17:59.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:17:59.228Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:17:59.228Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:17:59.228Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:17:59.228Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:17:59.228Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (27879.982 ms) ======
[2026-01-17T14:17:59.228Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-17T14:17:59.228Z] GC before operation: completed in 282.913 ms, heap usage 102.094 MB -> 90.217 MB.
[2026-01-17T14:18:04.677Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:18:08.889Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:18:13.092Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:18:16.160Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:18:18.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:18:20.832Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:18:23.895Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:18:25.870Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:18:25.870Z] 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.
[2026-01-17T14:18:25.870Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:18:26.839Z] Top recommended movies for user id 72:
[2026-01-17T14:18:26.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:18:26.839Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:18:26.839Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:18:26.839Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:18:26.839Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:18:26.839Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (27071.596 ms) ======
[2026-01-17T14:18:26.839Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-17T14:18:26.839Z] GC before operation: completed in 213.707 ms, heap usage 214.250 MB -> 90.105 MB.
[2026-01-17T14:18:31.062Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:18:35.275Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:18:39.494Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:18:42.563Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:18:45.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:18:47.739Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:18:50.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:18:53.858Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:18:53.858Z] 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.
[2026-01-17T14:18:53.858Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:18:53.858Z] Top recommended movies for user id 72:
[2026-01-17T14:18:53.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:18:53.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:18:53.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:18:53.858Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:18:53.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:18:53.858Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (27428.697 ms) ======
[2026-01-17T14:18:53.858Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-17T14:18:53.858Z] GC before operation: completed in 245.566 ms, heap usage 267.178 MB -> 89.975 MB.
[2026-01-17T14:18:59.483Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:19:02.531Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:19:07.474Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:19:10.539Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:19:13.636Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:19:16.712Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:19:18.717Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:19:21.775Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:19:21.775Z] 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.
[2026-01-17T14:19:21.775Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:19:21.775Z] Top recommended movies for user id 72:
[2026-01-17T14:19:21.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:19:21.775Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:19:21.775Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:19:21.775Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:19:21.775Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:19:21.775Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (27896.287 ms) ======
[2026-01-17T14:19:21.775Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-17T14:19:22.740Z] GC before operation: completed in 260.234 ms, heap usage 107.596 MB -> 93.820 MB.
[2026-01-17T14:19:26.949Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:19:30.024Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:19:34.245Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:19:38.450Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:19:40.427Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:19:42.419Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:19:45.471Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:19:47.518Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:19:48.480Z] 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.
[2026-01-17T14:19:48.480Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:19:48.480Z] Top recommended movies for user id 72:
[2026-01-17T14:19:48.480Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:19:48.480Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:19:48.480Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:19:48.480Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:19:48.480Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:19:48.480Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25987.541 ms) ======
[2026-01-17T14:19:48.480Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-17T14:19:48.480Z] GC before operation: completed in 250.414 ms, heap usage 133.489 MB -> 93.675 MB.
[2026-01-17T14:19:52.683Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:19:58.135Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:20:01.922Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:20:06.138Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:20:09.213Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:20:11.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:20:14.257Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:20:17.340Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:20:17.340Z] 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.
[2026-01-17T14:20:17.340Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:20:17.340Z] Top recommended movies for user id 72:
[2026-01-17T14:20:17.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:20:17.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:20:17.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:20:17.340Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:20:17.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:20:17.340Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (28915.118 ms) ======
[2026-01-17T14:20:17.340Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-17T14:20:18.304Z] GC before operation: completed in 312.051 ms, heap usage 429.060 MB -> 90.382 MB.
[2026-01-17T14:20:22.534Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:20:26.731Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:20:30.928Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:20:35.136Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:20:37.127Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:20:39.097Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:20:42.156Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:20:44.279Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:20:44.279Z] 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.
[2026-01-17T14:20:44.279Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:20:45.243Z] Top recommended movies for user id 72:
[2026-01-17T14:20:45.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:20:45.243Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:20:45.243Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:20:45.243Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:20:45.243Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:20:45.243Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (26843.775 ms) ======
[2026-01-17T14:20:45.243Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-17T14:20:45.243Z] GC before operation: completed in 259.735 ms, heap usage 366.538 MB -> 90.483 MB.
[2026-01-17T14:20:49.449Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:20:53.256Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:20:58.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:21:02.941Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:21:06.373Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:21:09.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:21:13.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:21:15.855Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:21:16.818Z] 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.
[2026-01-17T14:21:16.818Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:21:16.818Z] Top recommended movies for user id 72:
[2026-01-17T14:21:16.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:21:16.818Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:21:16.818Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:21:16.818Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:21:16.818Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:21:16.818Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (31942.619 ms) ======
[2026-01-17T14:21:16.818Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-17T14:21:16.818Z] GC before operation: completed in 260.983 ms, heap usage 366.087 MB -> 90.383 MB.
[2026-01-17T14:21:22.820Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:21:27.151Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:21:31.628Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:21:36.156Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:21:39.225Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:21:41.218Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:21:44.636Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:21:47.240Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:21:48.204Z] 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.
[2026-01-17T14:21:48.204Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:21:48.204Z] Top recommended movies for user id 72:
[2026-01-17T14:21:48.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:21:48.204Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:21:48.204Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:21:48.204Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:21:48.204Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:21:48.204Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (30906.855 ms) ======
[2026-01-17T14:21:48.204Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-17T14:21:48.204Z] GC before operation: completed in 293.411 ms, heap usage 371.371 MB -> 90.437 MB.
[2026-01-17T14:21:53.668Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:21:57.932Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:22:03.612Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:22:09.346Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:22:11.613Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:22:14.870Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:22:16.925Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:22:19.992Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:22:21.298Z] 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.
[2026-01-17T14:22:21.298Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:22:21.298Z] Top recommended movies for user id 72:
[2026-01-17T14:22:21.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:22:21.298Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:22:21.298Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:22:21.298Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:22:21.298Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:22:21.298Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (32572.499 ms) ======
[2026-01-17T14:22:21.298Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-17T14:22:21.298Z] GC before operation: completed in 621.623 ms, heap usage 335.988 MB -> 90.274 MB.
[2026-01-17T14:22:26.754Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:22:31.467Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:22:36.075Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:22:41.515Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:22:44.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:22:46.800Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:22:48.792Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:22:50.768Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:22:51.737Z] 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.
[2026-01-17T14:22:51.737Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:22:51.737Z] Top recommended movies for user id 72:
[2026-01-17T14:22:51.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:22:51.737Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:22:51.737Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:22:51.737Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:22:51.737Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:22:51.737Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (30459.103 ms) ======
[2026-01-17T14:22:51.737Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-17T14:22:52.878Z] GC before operation: completed in 237.947 ms, heap usage 130.880 MB -> 91.801 MB.
[2026-01-17T14:22:57.098Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T14:23:02.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T14:23:07.205Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T14:23:11.558Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T14:23:13.544Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T14:23:18.010Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T14:23:21.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T14:23:23.144Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T14:23:24.106Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T14:23:24.106Z] The best model improves the baseline by 14.52%.
[2026-01-17T14:23:24.106Z] Top recommended movies for user id 72:
[2026-01-17T14:23:24.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T14:23:24.107Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T14:23:24.107Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T14:23:24.107Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T14:23:24.107Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T14:23:24.107Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (31753.607 ms) ======
[2026-01-17T14:23:27.566Z] -----------------------------------
[2026-01-17T14:23:27.566Z] renaissance-movie-lens_0_PASSED
[2026-01-17T14:23:27.566Z] -----------------------------------
[2026-01-17T14:23:27.566Z]
[2026-01-17T14:23:27.566Z] TEST TEARDOWN:
[2026-01-17T14:23:27.566Z] Nothing to be done for teardown.
[2026-01-17T14:23:28.529Z] renaissance-movie-lens_0 Finish Time: Sat Jan 17 14:23:27 2026 Epoch Time (ms): 1768659808005