renaissance-movie-lens_0
[2026-03-02T15:07:40.340Z] Running test renaissance-movie-lens_0 ...
[2026-03-02T15:07:40.340Z] ===============================================
[2026-03-02T15:07:40.340Z] renaissance-movie-lens_0 Start Time: Mon Mar 2 15:07:39 2026 Epoch Time (ms): 1772464059785
[2026-03-02T15:07:40.340Z] variation: NoOptions
[2026-03-02T15:07:40.340Z] JVM_OPTIONS:
[2026-03-02T15:07:40.340Z] { \
[2026-03-02T15:07:40.340Z] echo ""; echo "TEST SETUP:"; \
[2026-03-02T15:07:40.340Z] echo "Nothing to be done for setup."; \
[2026-03-02T15:07:40.340Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17724632062130/renaissance-movie-lens_0"; \
[2026-03-02T15:07:40.340Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17724632062130/renaissance-movie-lens_0"; \
[2026-03-02T15:07:40.340Z] echo ""; echo "TESTING:"; \
[2026-03-02T15:07:40.340Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_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_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17724632062130/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-03-02T15:07:40.340Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17724632062130/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-03-02T15:07:40.340Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-03-02T15:07:40.340Z] echo "Nothing to be done for teardown."; \
[2026-03-02T15:07:40.340Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17724632062130/TestTargetResult";
[2026-03-02T15:07:40.340Z]
[2026-03-02T15:07:40.340Z] TEST SETUP:
[2026-03-02T15:07:40.340Z] Nothing to be done for setup.
[2026-03-02T15:07:40.340Z]
[2026-03-02T15:07:40.340Z] TESTING:
[2026-03-02T15:07:45.706Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-03-02T15:07:52.393Z] 15:07:51.325 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-03-02T15:07:53.348Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-03-02T15:07:54.307Z] Training: 60056, validation: 20285, test: 19854
[2026-03-02T15:07:54.307Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-03-02T15:07:54.307Z] GC before operation: completed in 144.643 ms, heap usage 186.370 MB -> 75.859 MB.
[2026-03-02T15:07:59.668Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:08:03.807Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:08:06.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:08:09.829Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:08:11.775Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:08:13.722Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:08:15.671Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:08:17.618Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:08:17.618Z] 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.
[2026-03-02T15:08:17.618Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:08:18.566Z] Top recommended movies for user id 72:
[2026-03-02T15:08:18.566Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:08:18.566Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:08:18.566Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:08:18.566Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:08:18.566Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:08:18.566Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23821.598 ms) ======
[2026-03-02T15:08:18.566Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-03-02T15:08:18.566Z] GC before operation: completed in 137.631 ms, heap usage 368.138 MB -> 86.727 MB.
[2026-03-02T15:08:21.573Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:08:23.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:08:26.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:08:28.490Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:08:30.612Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:08:31.560Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:08:33.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:08:34.456Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:08:35.405Z] 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.
[2026-03-02T15:08:35.405Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:08:35.405Z] Top recommended movies for user id 72:
[2026-03-02T15:08:35.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:08:35.405Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:08:35.405Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:08:35.405Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:08:35.405Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:08:35.405Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16823.739 ms) ======
[2026-03-02T15:08:35.405Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-03-02T15:08:35.405Z] GC before operation: completed in 158.442 ms, heap usage 608.104 MB -> 92.384 MB.
[2026-03-02T15:08:38.312Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:08:40.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:08:43.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:08:45.386Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:08:47.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:08:48.275Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:08:50.217Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:08:51.165Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:08:52.114Z] 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.
[2026-03-02T15:08:52.114Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:08:52.114Z] Top recommended movies for user id 72:
[2026-03-02T15:08:52.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:08:52.114Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:08:52.114Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:08:52.114Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:08:52.114Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:08:52.114Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16676.273 ms) ======
[2026-03-02T15:08:52.114Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-03-02T15:08:52.114Z] GC before operation: completed in 129.837 ms, heap usage 409.604 MB -> 89.581 MB.
[2026-03-02T15:08:55.121Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:08:57.068Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:08:59.016Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:09:02.023Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:09:02.970Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:09:04.914Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:09:06.859Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:09:07.807Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:09:07.807Z] 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.
[2026-03-02T15:09:07.807Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:09:08.755Z] Top recommended movies for user id 72:
[2026-03-02T15:09:08.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:09:08.755Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:09:08.755Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:09:08.755Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:09:08.755Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:09:08.755Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16312.331 ms) ======
[2026-03-02T15:09:08.755Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-03-02T15:09:08.755Z] GC before operation: completed in 129.987 ms, heap usage 105.339 MB -> 89.506 MB.
[2026-03-02T15:09:10.699Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:09:13.702Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:09:15.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:09:17.595Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:09:19.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:09:21.488Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:09:22.436Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:09:24.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:09:24.522Z] 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.
[2026-03-02T15:09:24.522Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:09:24.522Z] Top recommended movies for user id 72:
[2026-03-02T15:09:24.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:09:24.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:09:24.522Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:09:24.522Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:09:24.522Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:09:24.522Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16073.544 ms) ======
[2026-03-02T15:09:24.522Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-03-02T15:09:24.522Z] GC before operation: completed in 177.693 ms, heap usage 366.092 MB -> 89.765 MB.
[2026-03-02T15:09:27.528Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:09:29.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:09:31.421Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:09:33.370Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:09:35.314Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:09:36.263Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:09:38.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:09:39.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:09:39.159Z] 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.
[2026-03-02T15:09:39.159Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:09:39.159Z] Top recommended movies for user id 72:
[2026-03-02T15:09:39.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:09:39.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:09:39.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:09:39.159Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:09:39.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:09:39.159Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14724.723 ms) ======
[2026-03-02T15:09:39.159Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-03-02T15:09:40.107Z] GC before operation: completed in 139.111 ms, heap usage 475.886 MB -> 90.335 MB.
[2026-03-02T15:09:42.059Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:09:44.022Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:09:45.968Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:09:48.981Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:09:50.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:09:50.894Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:09:52.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:09:53.793Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:09:53.793Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-02T15:09:53.793Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:09:54.741Z] Top recommended movies for user id 72:
[2026-03-02T15:09:54.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:09:54.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:09:54.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:09:54.741Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:09:54.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:09:54.741Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14678.739 ms) ======
[2026-03-02T15:09:54.741Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-03-02T15:09:54.741Z] GC before operation: completed in 183.750 ms, heap usage 259.263 MB -> 90.025 MB.
[2026-03-02T15:09:56.688Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:09:58.634Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:10:01.647Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:10:02.593Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:10:04.541Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:10:05.502Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:10:06.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:10:07.396Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:10:08.350Z] 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.
[2026-03-02T15:10:08.350Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:10:08.350Z] Top recommended movies for user id 72:
[2026-03-02T15:10:08.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:10:08.350Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:10:08.350Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:10:08.350Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:10:08.350Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:10:08.350Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13693.748 ms) ======
[2026-03-02T15:10:08.350Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-03-02T15:10:08.350Z] GC before operation: completed in 145.593 ms, heap usage 732.934 MB -> 93.979 MB.
[2026-03-02T15:10:10.294Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:10:12.249Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:10:14.194Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:10:16.140Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:10:18.085Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:10:19.034Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:10:19.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:10:21.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:10:21.923Z] 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.
[2026-03-02T15:10:21.923Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:10:21.923Z] Top recommended movies for user id 72:
[2026-03-02T15:10:21.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:10:21.923Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:10:21.923Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:10:21.923Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:10:21.923Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:10:21.923Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13594.601 ms) ======
[2026-03-02T15:10:21.923Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-03-02T15:10:21.923Z] GC before operation: completed in 121.401 ms, heap usage 472.554 MB -> 90.359 MB.
[2026-03-02T15:10:23.866Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:10:25.808Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:10:28.804Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:10:30.745Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:10:31.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:10:32.634Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:10:34.573Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:10:35.518Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:10:35.518Z] 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.
[2026-03-02T15:10:35.518Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:10:35.518Z] Top recommended movies for user id 72:
[2026-03-02T15:10:35.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:10:35.518Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:10:35.518Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:10:35.518Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:10:35.518Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:10:35.518Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13798.334 ms) ======
[2026-03-02T15:10:35.518Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-03-02T15:10:36.463Z] GC before operation: completed in 118.987 ms, heap usage 104.054 MB -> 93.663 MB.
[2026-03-02T15:10:38.404Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:10:40.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:10:42.402Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:10:45.400Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:10:46.349Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:10:48.295Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:10:49.242Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:10:50.190Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:10:51.141Z] 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.
[2026-03-02T15:10:51.141Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:10:51.141Z] Top recommended movies for user id 72:
[2026-03-02T15:10:51.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:10:51.141Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:10:51.141Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:10:51.141Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:10:51.141Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:10:51.141Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14962.856 ms) ======
[2026-03-02T15:10:51.141Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-03-02T15:10:51.141Z] GC before operation: completed in 119.913 ms, heap usage 373.661 MB -> 90.168 MB.
[2026-03-02T15:10:53.086Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:10:55.033Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:10:58.037Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:10:59.986Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:11:00.933Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:11:02.881Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:11:03.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:11:04.776Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:11:05.730Z] 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.
[2026-03-02T15:11:05.730Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:11:05.730Z] Top recommended movies for user id 72:
[2026-03-02T15:11:05.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:11:05.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:11:05.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:11:05.730Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:11:05.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:11:05.730Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14523.931 ms) ======
[2026-03-02T15:11:05.730Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-03-02T15:11:05.730Z] GC before operation: completed in 120.995 ms, heap usage 289.136 MB -> 90.331 MB.
[2026-03-02T15:11:07.676Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:11:10.415Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:11:12.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:11:14.306Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:11:16.247Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:11:17.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:11:19.138Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:11:20.085Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:11:20.085Z] 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.
[2026-03-02T15:11:20.085Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:11:20.085Z] Top recommended movies for user id 72:
[2026-03-02T15:11:20.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:11:20.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:11:20.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:11:20.085Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:11:20.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:11:20.085Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14708.827 ms) ======
[2026-03-02T15:11:20.085Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-03-02T15:11:21.167Z] GC before operation: completed in 166.719 ms, heap usage 97.994 MB -> 93.929 MB.
[2026-03-02T15:11:23.111Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:11:25.055Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:11:27.014Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:11:30.022Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:11:30.970Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:11:31.917Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:11:33.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:11:34.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:11:34.810Z] 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.
[2026-03-02T15:11:35.762Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:11:35.762Z] Top recommended movies for user id 72:
[2026-03-02T15:11:35.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:11:35.762Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:11:35.762Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:11:35.762Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:11:35.762Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:11:35.762Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14798.502 ms) ======
[2026-03-02T15:11:35.762Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-03-02T15:11:35.762Z] GC before operation: completed in 145.976 ms, heap usage 603.764 MB -> 93.726 MB.
[2026-03-02T15:11:37.706Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:11:39.651Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:11:41.657Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:11:43.603Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:11:44.553Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:11:46.515Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:11:47.462Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:11:49.405Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:11:49.405Z] 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.
[2026-03-02T15:11:49.405Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:11:49.405Z] Top recommended movies for user id 72:
[2026-03-02T15:11:49.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:11:49.405Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:11:49.405Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:11:49.405Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:11:49.405Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:11:49.405Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13963.872 ms) ======
[2026-03-02T15:11:49.405Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-03-02T15:11:49.405Z] GC before operation: completed in 151.088 ms, heap usage 341.477 MB -> 90.370 MB.
[2026-03-02T15:11:52.427Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:11:54.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:11:56.330Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:11:58.285Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:11:59.240Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:12:01.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:12:02.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:12:03.082Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:12:04.030Z] 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.
[2026-03-02T15:12:04.030Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:12:04.030Z] Top recommended movies for user id 72:
[2026-03-02T15:12:04.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:12:04.030Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:12:04.030Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:12:04.030Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:12:04.030Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:12:04.030Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14199.679 ms) ======
[2026-03-02T15:12:04.030Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-03-02T15:12:04.030Z] GC before operation: completed in 143.038 ms, heap usage 205.294 MB -> 90.216 MB.
[2026-03-02T15:12:05.974Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:12:07.920Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:12:10.926Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:12:12.874Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:12:13.829Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:12:14.780Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:12:16.726Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:12:17.674Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:12:17.674Z] 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.
[2026-03-02T15:12:17.674Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:12:17.674Z] Top recommended movies for user id 72:
[2026-03-02T15:12:17.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:12:17.674Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:12:17.674Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:12:17.674Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:12:17.674Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:12:17.674Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13905.552 ms) ======
[2026-03-02T15:12:17.674Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-03-02T15:12:17.674Z] GC before operation: completed in 133.259 ms, heap usage 383.277 MB -> 90.487 MB.
[2026-03-02T15:12:20.685Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:12:22.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:12:24.811Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:12:26.759Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:12:28.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:12:29.658Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:12:31.602Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:12:32.553Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:12:32.553Z] 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.
[2026-03-02T15:12:32.553Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:12:32.553Z] Top recommended movies for user id 72:
[2026-03-02T15:12:32.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:12:32.553Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:12:32.553Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:12:32.553Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:12:32.553Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:12:32.553Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14921.783 ms) ======
[2026-03-02T15:12:32.553Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-03-02T15:12:33.507Z] GC before operation: completed in 138.567 ms, heap usage 190.509 MB -> 90.100 MB.
[2026-03-02T15:12:35.454Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:12:37.399Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:12:40.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:12:42.348Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:12:43.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:12:45.243Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:12:46.197Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:12:48.147Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:12:48.147Z] 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.
[2026-03-02T15:12:48.147Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:12:48.147Z] Top recommended movies for user id 72:
[2026-03-02T15:12:48.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:12:48.147Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:12:48.147Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:12:48.147Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:12:48.147Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:12:48.147Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15201.888 ms) ======
[2026-03-02T15:12:48.147Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-03-02T15:12:48.147Z] GC before operation: completed in 138.517 ms, heap usage 116.821 MB -> 90.128 MB.
[2026-03-02T15:12:51.145Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-02T15:12:53.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-02T15:12:55.038Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-02T15:12:58.052Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-02T15:12:59.001Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-02T15:12:59.951Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-02T15:13:01.899Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-02T15:13:02.848Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-02T15:13:02.849Z] 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.
[2026-03-02T15:13:02.849Z] The best model improves the baseline by 14.52%.
[2026-03-02T15:13:03.800Z] Top recommended movies for user id 72:
[2026-03-02T15:13:03.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-02T15:13:03.800Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-02T15:13:03.800Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-02T15:13:03.800Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-02T15:13:03.800Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-02T15:13:03.800Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14906.850 ms) ======
[2026-03-02T15:13:03.800Z] -----------------------------------
[2026-03-02T15:13:03.800Z] renaissance-movie-lens_0_PASSED
[2026-03-02T15:13:03.800Z] -----------------------------------
[2026-03-02T15:13:03.800Z]
[2026-03-02T15:13:03.800Z] TEST TEARDOWN:
[2026-03-02T15:13:03.800Z] Nothing to be done for teardown.
[2026-03-02T15:13:03.800Z] renaissance-movie-lens_0 Finish Time: Mon Mar 2 15:13:03 2026 Epoch Time (ms): 1772464383352