renaissance-movie-lens_0
[2026-01-21T12:51:34.896Z] Running test renaissance-movie-lens_0 ...
[2026-01-21T12:51:34.896Z] ===============================================
[2026-01-21T12:51:34.896Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 12:51:34 2026 Epoch Time (ms): 1768999894393
[2026-01-21T12:51:34.896Z] variation: NoOptions
[2026-01-21T12:51:34.896Z] JVM_OPTIONS:
[2026-01-21T12:51:34.896Z] { \
[2026-01-21T12:51:34.896Z] echo ""; echo "TEST SETUP:"; \
[2026-01-21T12:51:34.896Z] echo "Nothing to be done for setup."; \
[2026-01-21T12:51:34.896Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17689986563054/renaissance-movie-lens_0"; \
[2026-01-21T12:51:34.896Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17689986563054/renaissance-movie-lens_0"; \
[2026-01-21T12:51:34.896Z] echo ""; echo "TESTING:"; \
[2026-01-21T12:51:34.896Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17689986563054/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-21T12:51:34.896Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17689986563054/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-21T12:51:34.896Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-21T12:51:34.896Z] echo "Nothing to be done for teardown."; \
[2026-01-21T12:51:34.896Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17689986563054/TestTargetResult";
[2026-01-21T12:51:34.896Z]
[2026-01-21T12:51:34.896Z] TEST SETUP:
[2026-01-21T12:51:34.896Z] Nothing to be done for setup.
[2026-01-21T12:51:34.896Z]
[2026-01-21T12:51:34.896Z] TESTING:
[2026-01-21T12:51:35.854Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-21T12:51:35.854Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17689986563054/renaissance-movie-lens_0/launcher-125134-3666226604201763704/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-21T12:51:35.854Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-21T12:51:35.854Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-21T12:51:45.624Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-21T12:51:59.461Z] 12:51:58.774 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-21T12:52:03.882Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-21T12:52:03.882Z] Training: 60056, validation: 20285, test: 19854
[2026-01-21T12:52:03.882Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-21T12:52:04.838Z] GC before operation: completed in 185.332 ms, heap usage 418.830 MB -> 75.972 MB.
[2026-01-21T12:52:14.621Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:52:20.419Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:52:26.162Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:52:31.620Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:52:35.809Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:52:38.922Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:52:41.955Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:52:45.215Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:52:45.215Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:52:45.215Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:52:46.168Z] Top recommended movies for user id 72:
[2026-01-21T12:52:46.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:52:46.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:52:46.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:52:46.168Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:52:46.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:52:46.168Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (41236.799 ms) ======
[2026-01-21T12:52:46.168Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-21T12:52:46.168Z] GC before operation: completed in 212.945 ms, heap usage 276.795 MB -> 87.742 MB.
[2026-01-21T12:52:50.591Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:52:56.103Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:53:00.477Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:53:04.655Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:53:08.386Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:53:10.355Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:53:13.392Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:53:16.699Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:53:16.699Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:53:16.699Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:53:17.654Z] Top recommended movies for user id 72:
[2026-01-21T12:53:17.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:53:17.654Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:53:17.654Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:53:17.654Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:53:17.654Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:53:17.654Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (31304.542 ms) ======
[2026-01-21T12:53:17.654Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-21T12:53:17.654Z] GC before operation: completed in 197.304 ms, heap usage 187.947 MB -> 88.652 MB.
[2026-01-21T12:53:22.174Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:53:27.577Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:53:31.778Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:53:35.935Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:53:38.592Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:53:40.555Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:53:43.797Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:53:45.760Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:53:45.760Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:53:46.723Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:53:46.723Z] Top recommended movies for user id 72:
[2026-01-21T12:53:46.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:53:46.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:53:46.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:53:46.723Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:53:46.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:53:46.723Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29128.105 ms) ======
[2026-01-21T12:53:46.723Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-21T12:53:46.723Z] GC before operation: completed in 240.014 ms, heap usage 248.740 MB -> 89.271 MB.
[2026-01-21T12:53:51.196Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:53:56.068Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:54:00.010Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:54:04.550Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:54:07.709Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:54:09.671Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:54:12.701Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:54:15.363Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:54:16.491Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:54:16.491Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:54:16.491Z] Top recommended movies for user id 72:
[2026-01-21T12:54:16.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:54:16.491Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:54:16.491Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:54:16.491Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:54:16.491Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:54:16.491Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (29400.618 ms) ======
[2026-01-21T12:54:16.491Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-21T12:54:16.491Z] GC before operation: completed in 328.658 ms, heap usage 206.768 MB -> 89.550 MB.
[2026-01-21T12:54:21.958Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:54:26.136Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:54:31.522Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:54:35.705Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:54:38.948Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:54:42.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:54:45.628Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:54:47.589Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:54:48.557Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:54:48.557Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:54:48.557Z] Top recommended movies for user id 72:
[2026-01-21T12:54:48.557Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:54:48.557Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:54:48.557Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:54:48.557Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:54:48.557Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:54:48.557Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (32172.240 ms) ======
[2026-01-21T12:54:48.557Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-21T12:54:48.557Z] GC before operation: completed in 232.591 ms, heap usage 429.943 MB -> 89.808 MB.
[2026-01-21T12:54:53.550Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:54:57.733Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:55:03.112Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:55:07.314Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:55:10.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:55:13.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:55:17.059Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:55:20.373Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:55:20.373Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:55:21.328Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:55:21.328Z] Top recommended movies for user id 72:
[2026-01-21T12:55:21.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:55:21.328Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:55:21.328Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:55:21.328Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:55:21.328Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:55:21.328Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (32236.104 ms) ======
[2026-01-21T12:55:21.328Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-21T12:55:21.328Z] GC before operation: completed in 216.864 ms, heap usage 172.645 MB -> 93.070 MB.
[2026-01-21T12:55:25.484Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:55:28.505Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:55:31.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:55:35.682Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:55:37.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:55:40.395Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:55:42.349Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:55:44.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:55:45.418Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:55:45.418Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:55:45.418Z] Top recommended movies for user id 72:
[2026-01-21T12:55:45.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:55:45.418Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:55:45.418Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:55:45.418Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:55:45.418Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:55:45.418Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23650.865 ms) ======
[2026-01-21T12:55:45.418Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-21T12:55:45.418Z] GC before operation: completed in 635.778 ms, heap usage 380.527 MB -> 90.080 MB.
[2026-01-21T12:55:49.582Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:55:52.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:55:56.845Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:55:59.988Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:56:03.564Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:56:05.524Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:56:08.551Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:56:10.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:56:10.505Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:56:10.505Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:56:10.505Z] Top recommended movies for user id 72:
[2026-01-21T12:56:10.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:56:10.506Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:56:10.506Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:56:10.506Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:56:10.506Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:56:10.506Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24920.453 ms) ======
[2026-01-21T12:56:10.506Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-21T12:56:10.506Z] GC before operation: completed in 184.801 ms, heap usage 433.588 MB -> 90.272 MB.
[2026-01-21T12:56:14.655Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:56:18.097Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:56:22.564Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:56:26.730Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:56:28.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:56:30.890Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:56:33.124Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:56:35.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:56:35.542Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:56:35.542Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:56:35.542Z] Top recommended movies for user id 72:
[2026-01-21T12:56:35.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:56:35.542Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:56:35.542Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:56:35.542Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:56:35.542Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:56:35.542Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25040.527 ms) ======
[2026-01-21T12:56:35.542Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-21T12:56:36.505Z] GC before operation: completed in 217.569 ms, heap usage 257.017 MB -> 90.002 MB.
[2026-01-21T12:56:39.536Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:56:42.705Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:56:46.863Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:56:50.110Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:56:52.164Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:56:54.132Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:56:56.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:56:58.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:56:59.265Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:56:59.265Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:56:59.265Z] Top recommended movies for user id 72:
[2026-01-21T12:56:59.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:56:59.265Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:56:59.265Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:56:59.265Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:56:59.265Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:56:59.265Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23026.157 ms) ======
[2026-01-21T12:56:59.265Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-21T12:56:59.265Z] GC before operation: completed in 177.725 ms, heap usage 486.675 MB -> 90.506 MB.
[2026-01-21T12:57:03.570Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:57:07.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:57:10.456Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:57:16.028Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:57:17.996Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:57:21.769Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:57:23.731Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:57:25.695Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:57:26.652Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:57:26.652Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:57:26.652Z] Top recommended movies for user id 72:
[2026-01-21T12:57:26.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:57:26.652Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:57:26.652Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:57:26.652Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:57:26.652Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:57:26.652Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (27380.233 ms) ======
[2026-01-21T12:57:26.652Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-21T12:57:26.652Z] GC before operation: completed in 217.200 ms, heap usage 364.117 MB -> 89.983 MB.
[2026-01-21T12:57:30.849Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:57:33.871Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:57:36.914Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:57:41.099Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:57:42.060Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:57:44.032Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:57:45.992Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:57:49.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:57:49.028Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:57:49.028Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:57:49.028Z] Top recommended movies for user id 72:
[2026-01-21T12:57:49.028Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:57:49.028Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:57:49.028Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:57:49.028Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:57:49.028Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:57:49.028Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22223.129 ms) ======
[2026-01-21T12:57:49.028Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-21T12:57:49.028Z] GC before operation: completed in 187.254 ms, heap usage 425.745 MB -> 90.299 MB.
[2026-01-21T12:57:52.066Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:57:56.228Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:57:59.258Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:58:02.289Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:58:04.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:58:06.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:58:08.171Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:58:09.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:58:10.553Z] 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.
[2026-01-21T12:58:10.553Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:58:10.553Z] Top recommended movies for user id 72:
[2026-01-21T12:58:10.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:58:10.553Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:58:10.553Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:58:10.553Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:58:10.553Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:58:10.553Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21248.629 ms) ======
[2026-01-21T12:58:10.553Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-21T12:58:10.553Z] GC before operation: completed in 183.064 ms, heap usage 360.422 MB -> 90.362 MB.
[2026-01-21T12:58:14.709Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:58:17.740Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:58:21.905Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:58:27.298Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:58:29.269Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:58:31.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:58:34.288Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:58:37.414Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:58:37.414Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:58:37.414Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:58:38.395Z] Top recommended movies for user id 72:
[2026-01-21T12:58:38.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:58:38.395Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:58:38.395Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:58:38.395Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:58:38.395Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:58:38.395Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (27418.624 ms) ======
[2026-01-21T12:58:38.395Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-21T12:58:38.395Z] GC before operation: completed in 280.242 ms, heap usage 220.210 MB -> 89.886 MB.
[2026-01-21T12:58:49.978Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:58:53.605Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:58:56.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:59:00.795Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:59:03.856Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:59:05.832Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:59:07.796Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:59:10.843Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:59:10.843Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:59:10.843Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:59:11.797Z] Top recommended movies for user id 72:
[2026-01-21T12:59:11.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:59:11.797Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:59:11.797Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:59:11.797Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:59:11.797Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:59:11.797Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (33060.851 ms) ======
[2026-01-21T12:59:11.797Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-21T12:59:11.797Z] GC before operation: completed in 226.366 ms, heap usage 418.187 MB -> 90.485 MB.
[2026-01-21T12:59:15.985Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:59:20.178Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:59:25.593Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:59:29.799Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:59:31.758Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:59:34.812Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:59:37.551Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T12:59:39.525Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T12:59:39.525Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T12:59:39.525Z] The best model improves the baseline by 14.52%.
[2026-01-21T12:59:40.493Z] Top recommended movies for user id 72:
[2026-01-21T12:59:40.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T12:59:40.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T12:59:40.493Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T12:59:40.493Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T12:59:40.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T12:59:40.493Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28329.330 ms) ======
[2026-01-21T12:59:40.493Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-21T12:59:40.493Z] GC before operation: completed in 233.927 ms, heap usage 432.824 MB -> 90.355 MB.
[2026-01-21T12:59:43.521Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T12:59:47.688Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T12:59:50.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T12:59:53.738Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T12:59:55.699Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T12:59:57.663Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T12:59:59.629Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T13:00:01.588Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T13:00:02.659Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T13:00:02.659Z] The best model improves the baseline by 14.52%.
[2026-01-21T13:00:02.659Z] Top recommended movies for user id 72:
[2026-01-21T13:00:02.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T13:00:02.659Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T13:00:02.659Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T13:00:02.659Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T13:00:02.659Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T13:00:02.659Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22106.350 ms) ======
[2026-01-21T13:00:02.659Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-21T13:00:02.659Z] GC before operation: completed in 202.066 ms, heap usage 241.994 MB -> 90.081 MB.
[2026-01-21T13:00:05.689Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T13:00:08.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T13:00:11.739Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T13:00:14.760Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T13:00:16.723Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T13:00:18.679Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T13:00:20.643Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T13:00:22.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T13:00:22.611Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T13:00:22.611Z] The best model improves the baseline by 14.52%.
[2026-01-21T13:00:22.611Z] Top recommended movies for user id 72:
[2026-01-21T13:00:22.611Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T13:00:22.611Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T13:00:22.611Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T13:00:22.611Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T13:00:22.611Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T13:00:22.611Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20443.480 ms) ======
[2026-01-21T13:00:22.611Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-21T13:00:23.563Z] GC before operation: completed in 179.442 ms, heap usage 453.749 MB -> 90.223 MB.
[2026-01-21T13:00:26.595Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T13:00:30.068Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T13:00:33.088Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T13:00:36.128Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T13:00:38.087Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T13:00:40.044Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T13:00:42.006Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T13:00:43.968Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T13:00:44.919Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T13:00:44.919Z] The best model improves the baseline by 14.52%.
[2026-01-21T13:00:44.919Z] Top recommended movies for user id 72:
[2026-01-21T13:00:44.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T13:00:44.919Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T13:00:44.919Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T13:00:44.919Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T13:00:44.919Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T13:00:44.919Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21539.426 ms) ======
[2026-01-21T13:00:44.919Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-21T13:00:44.919Z] GC before operation: completed in 256.648 ms, heap usage 320.511 MB -> 90.145 MB.
[2026-01-21T13:00:47.933Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T13:00:52.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T13:00:55.114Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T13:00:58.138Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T13:01:00.094Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T13:01:01.227Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T13:01:03.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T13:01:05.150Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T13:01:06.102Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T13:01:06.102Z] The best model improves the baseline by 14.52%.
[2026-01-21T13:01:06.102Z] Top recommended movies for user id 72:
[2026-01-21T13:01:06.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T13:01:06.102Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T13:01:06.102Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T13:01:06.102Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T13:01:06.102Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T13:01:06.102Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20870.291 ms) ======
[2026-01-21T13:01:07.058Z] -----------------------------------
[2026-01-21T13:01:07.058Z] renaissance-movie-lens_0_PASSED
[2026-01-21T13:01:07.058Z] -----------------------------------
[2026-01-21T13:01:07.058Z]
[2026-01-21T13:01:07.058Z] TEST TEARDOWN:
[2026-01-21T13:01:07.058Z] Nothing to be done for teardown.
[2026-01-21T13:01:07.058Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 13:01:06 2026 Epoch Time (ms): 1769000466834