renaissance-movie-lens_0
[2026-02-27T04:19:47.712Z] Running test renaissance-movie-lens_0 ...
[2026-02-27T04:19:47.712Z] ===============================================
[2026-02-27T04:19:47.712Z] renaissance-movie-lens_0 Start Time: Fri Feb 27 04:19:47 2026 Epoch Time (ms): 1772165987612
[2026-02-27T04:19:47.712Z] variation: NoOptions
[2026-02-27T04:19:47.712Z] JVM_OPTIONS:
[2026-02-27T04:19:47.712Z] { \
[2026-02-27T04:19:47.712Z] echo ""; echo "TEST SETUP:"; \
[2026-02-27T04:19:47.712Z] echo "Nothing to be done for setup."; \
[2026-02-27T04:19:47.712Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721651834285/renaissance-movie-lens_0"; \
[2026-02-27T04:19:47.712Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721651834285/renaissance-movie-lens_0"; \
[2026-02-27T04:19:47.712Z] echo ""; echo "TESTING:"; \
[2026-02-27T04:19:47.712Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721651834285/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-27T04:19:47.712Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721651834285/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-27T04:19:47.712Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-27T04:19:47.712Z] echo "Nothing to be done for teardown."; \
[2026-02-27T04:19:47.712Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721651834285/TestTargetResult";
[2026-02-27T04:19:47.712Z]
[2026-02-27T04:19:47.712Z] TEST SETUP:
[2026-02-27T04:19:47.712Z] Nothing to be done for setup.
[2026-02-27T04:19:47.712Z]
[2026-02-27T04:19:47.712Z] TESTING:
[2026-02-27T04:19:48.456Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-27T04:19:48.456Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17721651834285/renaissance-movie-lens_0/launcher-041947-10300092352484344321/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-27T04:19:48.456Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-27T04:19:48.456Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-27T04:19:53.955Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-27T04:20:00.663Z] 04:20:00.274 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-27T04:20:03.069Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-27T04:20:03.069Z] Training: 60056, validation: 20285, test: 19854
[2026-02-27T04:20:03.069Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-27T04:20:03.822Z] GC before operation: completed in 151.366 ms, heap usage 376.990 MB -> 75.906 MB.
[2026-02-27T04:20:10.558Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:20:14.914Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:20:18.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:20:21.576Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:20:23.978Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:20:26.020Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:20:27.574Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:20:29.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:20:29.128Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:20:29.128Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:20:29.875Z] Top recommended movies for user id 72:
[2026-02-27T04:20:29.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:20:29.875Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:20:29.875Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:20:29.875Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:20:29.875Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:20:29.875Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26170.460 ms) ======
[2026-02-27T04:20:29.875Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-27T04:20:29.875Z] GC before operation: completed in 117.271 ms, heap usage 155.676 MB -> 87.535 MB.
[2026-02-27T04:20:32.297Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:20:35.628Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:20:38.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:20:41.365Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:20:42.907Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:20:44.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:20:45.999Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:20:48.404Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:20:48.404Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:20:48.404Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:20:48.404Z] Top recommended movies for user id 72:
[2026-02-27T04:20:48.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:20:48.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:20:48.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:20:48.404Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:20:48.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:20:48.404Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18602.860 ms) ======
[2026-02-27T04:20:48.404Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-27T04:20:48.404Z] GC before operation: completed in 124.638 ms, heap usage 400.486 MB -> 88.795 MB.
[2026-02-27T04:20:51.733Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:20:54.137Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:20:57.470Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:20:59.887Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:21:01.432Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:21:02.980Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:21:04.595Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:21:06.133Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:21:06.877Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:21:06.877Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:21:06.877Z] Top recommended movies for user id 72:
[2026-02-27T04:21:06.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:21:06.877Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:21:06.877Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:21:06.877Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:21:06.877Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:21:06.877Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18213.474 ms) ======
[2026-02-27T04:21:06.877Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-27T04:21:06.877Z] GC before operation: completed in 135.148 ms, heap usage 390.054 MB -> 89.481 MB.
[2026-02-27T04:21:09.766Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:21:12.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:21:14.575Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:21:17.921Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:21:19.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:21:21.028Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:21:22.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:21:24.126Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:21:24.126Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:21:24.126Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:21:24.126Z] Top recommended movies for user id 72:
[2026-02-27T04:21:24.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:21:24.126Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:21:24.126Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:21:24.126Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:21:24.126Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:21:24.126Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17597.656 ms) ======
[2026-02-27T04:21:24.126Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-27T04:21:24.871Z] GC before operation: completed in 113.186 ms, heap usage 369.267 MB -> 89.866 MB.
[2026-02-27T04:21:27.389Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:21:29.809Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:21:33.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:21:35.553Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:21:37.135Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:21:38.687Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:21:40.247Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:21:42.648Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:21:42.648Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:21:42.648Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:21:42.648Z] Top recommended movies for user id 72:
[2026-02-27T04:21:42.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:21:42.649Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:21:42.649Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:21:42.649Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:21:42.649Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:21:42.649Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18024.083 ms) ======
[2026-02-27T04:21:42.649Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-27T04:21:42.649Z] GC before operation: completed in 115.215 ms, heap usage 536.187 MB -> 89.943 MB.
[2026-02-27T04:21:46.058Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:21:48.460Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:21:51.796Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:21:53.829Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:21:55.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:21:56.921Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:21:58.469Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:22:00.016Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:22:00.016Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:22:00.016Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:22:00.016Z] Top recommended movies for user id 72:
[2026-02-27T04:22:00.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:22:00.016Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:22:00.016Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:22:00.016Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:22:00.016Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:22:00.016Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17685.097 ms) ======
[2026-02-27T04:22:00.016Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-27T04:22:00.759Z] GC before operation: completed in 127.356 ms, heap usage 279.883 MB -> 90.007 MB.
[2026-02-27T04:22:03.171Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:22:05.574Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:22:07.974Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:22:10.379Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:22:11.921Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:22:13.469Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:22:15.011Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:22:16.564Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:22:16.564Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:22:16.564Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:22:16.564Z] Top recommended movies for user id 72:
[2026-02-27T04:22:16.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:22:16.564Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:22:16.564Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:22:16.564Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:22:16.564Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:22:16.564Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16211.561 ms) ======
[2026-02-27T04:22:16.564Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-27T04:22:16.564Z] GC before operation: completed in 119.130 ms, heap usage 368.712 MB -> 90.048 MB.
[2026-02-27T04:22:19.901Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:22:21.444Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:22:24.772Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:22:27.195Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:22:28.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:22:31.152Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:22:32.702Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:22:35.133Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:22:35.133Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:22:35.133Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:22:35.133Z] Top recommended movies for user id 72:
[2026-02-27T04:22:35.133Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:22:35.133Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:22:35.133Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:22:35.133Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:22:35.133Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:22:35.133Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18394.603 ms) ======
[2026-02-27T04:22:35.133Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-27T04:22:35.133Z] GC before operation: completed in 138.889 ms, heap usage 296.627 MB -> 90.181 MB.
[2026-02-27T04:22:38.727Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:22:41.130Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:22:44.463Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:22:47.794Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:22:50.212Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:22:52.630Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:22:55.034Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:22:57.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:22:57.446Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:22:57.446Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:22:58.198Z] Top recommended movies for user id 72:
[2026-02-27T04:22:58.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:22:58.198Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:22:58.198Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:22:58.198Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:22:58.198Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:22:58.198Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22569.666 ms) ======
[2026-02-27T04:22:58.198Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-27T04:22:58.198Z] GC before operation: completed in 247.362 ms, heap usage 261.487 MB -> 89.929 MB.
[2026-02-27T04:23:01.557Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:23:05.911Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:23:08.328Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:23:10.790Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:23:13.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:23:14.750Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:23:17.150Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:23:19.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:23:19.565Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:23:19.565Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:23:19.565Z] Top recommended movies for user id 72:
[2026-02-27T04:23:19.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:23:19.565Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:23:19.565Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:23:19.565Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:23:19.565Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:23:19.565Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21657.471 ms) ======
[2026-02-27T04:23:19.565Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-27T04:23:20.688Z] GC before operation: completed in 178.993 ms, heap usage 134.131 MB -> 90.224 MB.
[2026-02-27T04:23:23.120Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:23:26.482Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:23:28.880Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:23:30.427Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:23:31.968Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:23:33.515Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:23:35.063Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:23:36.604Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:23:36.604Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:23:36.604Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:23:36.604Z] Top recommended movies for user id 72:
[2026-02-27T04:23:36.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:23:36.604Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:23:36.604Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:23:36.604Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:23:36.604Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:23:36.604Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16569.490 ms) ======
[2026-02-27T04:23:36.604Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-27T04:23:36.604Z] GC before operation: completed in 135.043 ms, heap usage 512.207 MB -> 90.288 MB.
[2026-02-27T04:23:39.008Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:23:42.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:23:44.782Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:23:47.197Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:23:48.734Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:23:50.304Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:23:51.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:23:53.398Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:23:53.398Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:23:53.398Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:23:53.398Z] Top recommended movies for user id 72:
[2026-02-27T04:23:53.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:23:53.398Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:23:53.398Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:23:53.398Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:23:53.398Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:23:53.398Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16894.519 ms) ======
[2026-02-27T04:23:53.398Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-27T04:23:53.398Z] GC before operation: completed in 120.830 ms, heap usage 297.247 MB -> 90.259 MB.
[2026-02-27T04:23:56.725Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:23:58.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:24:01.601Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:24:06.480Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:24:08.891Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:24:12.224Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:24:14.619Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:24:17.066Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:24:17.066Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:24:17.066Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:24:17.809Z] Top recommended movies for user id 72:
[2026-02-27T04:24:17.809Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:24:17.809Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:24:17.809Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:24:17.809Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:24:17.809Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:24:17.809Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23768.469 ms) ======
[2026-02-27T04:24:17.809Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-27T04:24:17.809Z] GC before operation: completed in 278.454 ms, heap usage 426.036 MB -> 90.433 MB.
[2026-02-27T04:24:22.272Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:24:26.636Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:24:30.988Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:24:35.344Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:24:37.755Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:24:40.186Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:24:42.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:24:45.052Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:24:45.052Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:24:45.052Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:24:45.802Z] Top recommended movies for user id 72:
[2026-02-27T04:24:45.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:24:45.802Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:24:45.802Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:24:45.802Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:24:45.802Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:24:45.802Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (27831.123 ms) ======
[2026-02-27T04:24:45.802Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-27T04:24:45.802Z] GC before operation: completed in 210.413 ms, heap usage 416.042 MB -> 90.243 MB.
[2026-02-27T04:24:50.287Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:24:54.659Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:24:58.048Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:25:02.381Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:25:04.786Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:25:07.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:25:09.603Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:25:12.008Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:25:12.008Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:25:12.758Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:25:12.758Z] Top recommended movies for user id 72:
[2026-02-27T04:25:12.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:25:12.758Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:25:12.758Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:25:12.758Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:25:12.758Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:25:12.758Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (26842.399 ms) ======
[2026-02-27T04:25:12.758Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-27T04:25:12.758Z] GC before operation: completed in 242.889 ms, heap usage 168.668 MB -> 90.198 MB.
[2026-02-27T04:25:17.125Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:25:20.464Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:25:24.813Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:25:29.209Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:25:30.759Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:25:33.157Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:25:35.571Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:25:41.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:25:41.946Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:25:41.946Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:25:41.946Z] Top recommended movies for user id 72:
[2026-02-27T04:25:41.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:25:41.946Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:25:41.946Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:25:41.946Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:25:41.946Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:25:41.946Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (29326.690 ms) ======
[2026-02-27T04:25:41.946Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-27T04:25:42.692Z] GC before operation: completed in 227.552 ms, heap usage 281.655 MB -> 90.235 MB.
[2026-02-27T04:25:52.611Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:25:55.963Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:26:00.321Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:26:03.666Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:26:06.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:26:08.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:26:10.897Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:26:13.307Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:26:13.307Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:26:13.307Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:26:14.061Z] Top recommended movies for user id 72:
[2026-02-27T04:26:14.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:26:14.061Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:26:14.061Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:26:14.061Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:26:14.061Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:26:14.061Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (31379.096 ms) ======
[2026-02-27T04:26:14.061Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-27T04:26:14.061Z] GC before operation: completed in 267.192 ms, heap usage 488.128 MB -> 90.512 MB.
[2026-02-27T04:26:18.421Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:26:21.765Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:26:26.250Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:26:30.069Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:26:32.477Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:26:34.890Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:26:37.296Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:26:39.701Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:26:39.701Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:26:39.701Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:26:39.701Z] Top recommended movies for user id 72:
[2026-02-27T04:26:39.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:26:39.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:26:39.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:26:39.701Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:26:39.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:26:39.701Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (25786.144 ms) ======
[2026-02-27T04:26:39.701Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-27T04:26:40.458Z] GC before operation: completed in 239.273 ms, heap usage 507.082 MB -> 90.422 MB.
[2026-02-27T04:26:43.805Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:26:49.362Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:26:53.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:26:57.055Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:26:59.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:27:01.882Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:27:04.282Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:27:06.700Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:27:06.700Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:27:06.700Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:27:06.700Z] Top recommended movies for user id 72:
[2026-02-27T04:27:06.700Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:27:06.700Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:27:06.700Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:27:06.700Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:27:06.700Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:27:06.700Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (26834.824 ms) ======
[2026-02-27T04:27:06.700Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-27T04:27:07.451Z] GC before operation: completed in 237.891 ms, heap usage 294.805 MB -> 90.248 MB.
[2026-02-27T04:27:10.798Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T04:27:15.649Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T04:27:18.991Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T04:27:22.325Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T04:27:24.743Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T04:27:27.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T04:27:29.569Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T04:27:31.994Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T04:27:31.994Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-27T04:27:31.994Z] The best model improves the baseline by 14.52%.
[2026-02-27T04:27:31.994Z] Top recommended movies for user id 72:
[2026-02-27T04:27:31.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T04:27:31.994Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T04:27:31.994Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T04:27:31.994Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T04:27:31.994Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T04:27:31.994Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (24859.987 ms) ======
[2026-02-27T04:27:32.759Z] -----------------------------------
[2026-02-27T04:27:32.759Z] renaissance-movie-lens_0_PASSED
[2026-02-27T04:27:32.759Z] -----------------------------------
[2026-02-27T04:27:32.759Z]
[2026-02-27T04:27:32.759Z] TEST TEARDOWN:
[2026-02-27T04:27:32.759Z] Nothing to be done for teardown.
[2026-02-27T04:27:32.759Z] renaissance-movie-lens_0 Finish Time: Fri Feb 27 04:27:32 2026 Epoch Time (ms): 1772166452424