renaissance-movie-lens_0
[2026-03-06T08:40:52.675Z] Running test renaissance-movie-lens_0 ...
[2026-03-06T08:40:52.675Z] ===============================================
[2026-03-06T08:40:52.675Z] renaissance-movie-lens_0 Start Time: Fri Mar 6 08:40:51 2026 Epoch Time (ms): 1772786451927
[2026-03-06T08:40:52.675Z] variation: NoOptions
[2026-03-06T08:40:52.675Z] JVM_OPTIONS:
[2026-03-06T08:40:52.675Z] { \
[2026-03-06T08:40:52.675Z] echo ""; echo "TEST SETUP:"; \
[2026-03-06T08:40:52.675Z] echo "Nothing to be done for setup."; \
[2026-03-06T08:40:52.675Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17727854444339/renaissance-movie-lens_0"; \
[2026-03-06T08:40:52.675Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17727854444339/renaissance-movie-lens_0"; \
[2026-03-06T08:40:52.675Z] echo ""; echo "TESTING:"; \
[2026-03-06T08:40:52.675Z] "/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_17727854444339/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-03-06T08:40:52.675Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17727854444339/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-03-06T08:40:52.675Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-03-06T08:40:52.675Z] echo "Nothing to be done for teardown."; \
[2026-03-06T08:40:52.675Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17727854444339/TestTargetResult";
[2026-03-06T08:40:52.675Z]
[2026-03-06T08:40:52.675Z] TEST SETUP:
[2026-03-06T08:40:52.675Z] Nothing to be done for setup.
[2026-03-06T08:40:52.675Z]
[2026-03-06T08:40:52.675Z] TESTING:
[2026-03-06T08:40:53.611Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-03-06T08:40:53.611Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17727854444339/renaissance-movie-lens_0/launcher-084052-13050275987552752541/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-03-06T08:40:53.611Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-03-06T08:40:53.611Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-03-06T08:41:00.570Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-03-06T08:41:08.678Z] 08:41:07.336 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.
[2026-03-06T08:41:10.604Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-03-06T08:41:10.604Z] Training: 60056, validation: 20285, test: 19854
[2026-03-06T08:41:10.604Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-03-06T08:41:10.604Z] GC before operation: completed in 121.825 ms, heap usage 417.051 MB -> 75.844 MB.
[2026-03-06T08:41:18.651Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:41:22.823Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:41:26.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:41:29.922Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:41:32.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:41:34.149Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:41:36.191Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:41:38.112Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:41:38.112Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:41:38.112Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:41:38.112Z] Top recommended movies for user id 72:
[2026-03-06T08:41:38.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:41:38.112Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:41:38.112Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:41:38.112Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:41:38.112Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:41:38.112Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27452.202 ms) ======
[2026-03-06T08:41:38.112Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-03-06T08:41:38.112Z] GC before operation: completed in 154.318 ms, heap usage 119.842 MB -> 92.533 MB.
[2026-03-06T08:41:42.194Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:41:45.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:41:48.173Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:41:51.149Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:41:53.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:41:54.016Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:41:57.043Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:41:57.985Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:41:57.985Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:41:57.985Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:41:59.069Z] Top recommended movies for user id 72:
[2026-03-06T08:41:59.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:41:59.069Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:41:59.069Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:41:59.069Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:41:59.069Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:41:59.069Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20176.258 ms) ======
[2026-03-06T08:41:59.069Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-03-06T08:41:59.069Z] GC before operation: completed in 126.889 ms, heap usage 428.796 MB -> 88.777 MB.
[2026-03-06T08:42:02.043Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:42:05.194Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:42:08.305Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:42:10.228Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:42:12.280Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:42:14.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:42:16.121Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:42:17.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:42:17.998Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:42:17.998Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:42:17.998Z] Top recommended movies for user id 72:
[2026-03-06T08:42:17.998Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:42:17.998Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:42:17.998Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:42:17.998Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:42:17.998Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:42:17.998Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19126.199 ms) ======
[2026-03-06T08:42:17.998Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-03-06T08:42:17.998Z] GC before operation: completed in 166.456 ms, heap usage 450.546 MB -> 89.498 MB.
[2026-03-06T08:42:21.104Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:42:23.734Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:42:26.837Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:42:28.762Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:42:30.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:42:32.774Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:42:34.792Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:42:36.721Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:42:36.721Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:42:36.721Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:42:36.721Z] Top recommended movies for user id 72:
[2026-03-06T08:42:36.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:42:36.721Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:42:36.721Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:42:36.721Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:42:36.721Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:42:36.721Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18785.325 ms) ======
[2026-03-06T08:42:36.721Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-03-06T08:42:36.721Z] GC before operation: completed in 139.645 ms, heap usage 404.066 MB -> 89.694 MB.
[2026-03-06T08:42:39.703Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:42:42.670Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:42:44.598Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:42:47.573Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:42:49.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:42:50.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:42:52.386Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:42:54.313Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:42:54.313Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:42:54.313Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:42:54.313Z] Top recommended movies for user id 72:
[2026-03-06T08:42:54.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:42:54.313Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:42:54.313Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:42:54.313Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:42:54.313Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:42:54.313Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17523.022 ms) ======
[2026-03-06T08:42:54.313Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-03-06T08:42:54.313Z] GC before operation: completed in 146.342 ms, heap usage 96.929 MB -> 93.100 MB.
[2026-03-06T08:42:57.293Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:43:00.266Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:43:02.189Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:43:05.159Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:43:06.099Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:43:08.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:43:08.961Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:43:10.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:43:10.884Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:43:10.884Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:43:10.884Z] Top recommended movies for user id 72:
[2026-03-06T08:43:10.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:43:10.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:43:10.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:43:10.884Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:43:10.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:43:10.884Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16653.563 ms) ======
[2026-03-06T08:43:10.884Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-03-06T08:43:10.884Z] GC before operation: completed in 154.548 ms, heap usage 403.654 MB -> 89.950 MB.
[2026-03-06T08:43:14.550Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:43:16.469Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:43:19.439Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:43:21.360Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:43:23.282Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:43:24.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:43:26.151Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:43:27.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:43:27.093Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:43:27.093Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:43:27.093Z] Top recommended movies for user id 72:
[2026-03-06T08:43:27.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:43:27.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:43:27.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:43:27.093Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:43:27.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:43:27.093Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16085.108 ms) ======
[2026-03-06T08:43:27.093Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-03-06T08:43:28.027Z] GC before operation: completed in 194.932 ms, heap usage 526.153 MB -> 93.349 MB.
[2026-03-06T08:43:29.954Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:43:32.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:43:34.845Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:43:36.765Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:43:38.706Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:43:39.642Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:43:41.560Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:43:42.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:43:43.443Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:43:43.443Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:43:43.443Z] Top recommended movies for user id 72:
[2026-03-06T08:43:43.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:43:43.443Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:43:43.443Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:43:43.443Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:43:43.443Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:43:43.443Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15696.999 ms) ======
[2026-03-06T08:43:43.443Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-03-06T08:43:43.443Z] GC before operation: completed in 142.268 ms, heap usage 127.377 MB -> 90.700 MB.
[2026-03-06T08:43:46.409Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:43:48.330Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:43:51.302Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:43:53.227Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:43:55.146Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:43:56.080Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:43:58.005Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:43:58.941Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:43:59.881Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:43:59.881Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:43:59.881Z] Top recommended movies for user id 72:
[2026-03-06T08:43:59.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:43:59.881Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:43:59.881Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:43:59.881Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:43:59.881Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:43:59.881Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16294.426 ms) ======
[2026-03-06T08:43:59.881Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-03-06T08:43:59.881Z] GC before operation: completed in 145.585 ms, heap usage 291.319 MB -> 89.842 MB.
[2026-03-06T08:44:02.848Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:44:05.374Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:44:07.294Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:44:09.217Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:44:11.138Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:44:12.075Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:44:14.001Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:44:14.938Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:44:14.938Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:44:14.938Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:44:14.938Z] Top recommended movies for user id 72:
[2026-03-06T08:44:14.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:44:14.938Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:44:14.938Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:44:14.938Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:44:14.938Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:44:14.938Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15462.653 ms) ======
[2026-03-06T08:44:14.938Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-03-06T08:44:15.874Z] GC before operation: completed in 129.681 ms, heap usage 159.057 MB -> 89.932 MB.
[2026-03-06T08:44:17.794Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:44:19.713Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:44:22.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:44:24.607Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:44:25.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:44:27.474Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:44:28.411Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:44:30.345Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:44:30.345Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:44:30.345Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:44:30.345Z] Top recommended movies for user id 72:
[2026-03-06T08:44:30.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:44:30.345Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:44:30.345Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:44:30.345Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:44:30.345Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:44:30.345Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15013.843 ms) ======
[2026-03-06T08:44:30.345Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-03-06T08:44:30.345Z] GC before operation: completed in 156.335 ms, heap usage 163.832 MB -> 89.945 MB.
[2026-03-06T08:44:33.314Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:44:35.239Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:44:37.164Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:44:40.130Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:44:41.067Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:44:42.989Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:44:43.924Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:44:45.850Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:44:45.850Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:44:45.850Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:44:45.850Z] Top recommended movies for user id 72:
[2026-03-06T08:44:45.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:44:45.850Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:44:45.850Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:44:45.850Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:44:45.850Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:44:45.850Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15199.516 ms) ======
[2026-03-06T08:44:45.850Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-03-06T08:44:45.850Z] GC before operation: completed in 148.841 ms, heap usage 507.658 MB -> 90.378 MB.
[2026-03-06T08:44:48.814Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:44:50.747Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:44:53.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:44:55.641Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:44:57.565Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:44:58.931Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:44:59.871Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:45:01.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:45:01.796Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:45:01.796Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:45:01.796Z] Top recommended movies for user id 72:
[2026-03-06T08:45:01.796Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:45:01.796Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:45:01.796Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:45:01.796Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:45:01.796Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:45:01.796Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16086.983 ms) ======
[2026-03-06T08:45:01.796Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-03-06T08:45:01.796Z] GC before operation: completed in 141.796 ms, heap usage 125.239 MB -> 89.902 MB.
[2026-03-06T08:45:04.767Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:45:07.734Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:45:09.659Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:45:11.579Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:45:13.500Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:45:14.433Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:45:15.370Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:45:17.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:45:17.290Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:45:17.290Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:45:17.290Z] Top recommended movies for user id 72:
[2026-03-06T08:45:17.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:45:17.290Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:45:17.290Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:45:17.290Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:45:17.290Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:45:17.290Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15376.870 ms) ======
[2026-03-06T08:45:17.290Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-03-06T08:45:17.290Z] GC before operation: completed in 149.049 ms, heap usage 483.337 MB -> 90.329 MB.
[2026-03-06T08:45:20.269Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:45:23.241Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:45:25.167Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:45:27.094Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:45:29.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:45:29.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:45:31.880Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:45:32.817Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:45:32.817Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:45:32.817Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:45:32.817Z] Top recommended movies for user id 72:
[2026-03-06T08:45:32.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:45:32.817Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:45:32.817Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:45:32.817Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:45:32.817Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:45:32.817Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15352.896 ms) ======
[2026-03-06T08:45:32.817Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-03-06T08:45:32.817Z] GC before operation: completed in 155.605 ms, heap usage 113.099 MB -> 92.131 MB.
[2026-03-06T08:45:35.787Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:45:37.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:45:39.637Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:45:42.612Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:45:43.549Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:45:44.484Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:45:47.089Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:45:48.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:45:48.028Z] 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.
[2026-03-06T08:45:48.028Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:45:48.028Z] Top recommended movies for user id 72:
[2026-03-06T08:45:48.028Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:45:48.028Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:45:48.028Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:45:48.028Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:45:48.028Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:45:48.028Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14556.213 ms) ======
[2026-03-06T08:45:48.028Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-03-06T08:45:48.028Z] GC before operation: completed in 148.085 ms, heap usage 476.046 MB -> 90.413 MB.
[2026-03-06T08:45:51.008Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:45:52.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:45:54.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:45:56.775Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:45:58.695Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:45:59.637Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:46:01.561Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:46:02.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:46:02.501Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:46:02.501Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:46:03.456Z] Top recommended movies for user id 72:
[2026-03-06T08:46:03.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:46:03.456Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:46:03.456Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:46:03.456Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:46:03.456Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:46:03.456Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15172.484 ms) ======
[2026-03-06T08:46:03.456Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-03-06T08:46:03.456Z] GC before operation: completed in 153.068 ms, heap usage 236.993 MB -> 89.995 MB.
[2026-03-06T08:46:05.387Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:46:08.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:46:11.333Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:46:13.255Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:46:14.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:46:16.140Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:46:18.067Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:46:19.002Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:46:19.002Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:46:19.002Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:46:19.002Z] Top recommended movies for user id 72:
[2026-03-06T08:46:19.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:46:19.002Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:46:19.002Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:46:19.002Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:46:19.002Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:46:19.002Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16112.388 ms) ======
[2026-03-06T08:46:19.002Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-03-06T08:46:19.943Z] GC before operation: completed in 142.958 ms, heap usage 363.341 MB -> 90.059 MB.
[2026-03-06T08:46:21.864Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:46:24.833Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:46:26.754Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:46:29.724Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:46:30.659Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:46:31.594Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:46:33.519Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:46:35.469Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:46:35.469Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:46:35.469Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:46:35.469Z] Top recommended movies for user id 72:
[2026-03-06T08:46:35.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:46:35.469Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:46:35.469Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:46:35.469Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:46:35.469Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:46:35.469Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15835.485 ms) ======
[2026-03-06T08:46:35.469Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-03-06T08:46:35.469Z] GC before operation: completed in 155.498 ms, heap usage 389.268 MB -> 90.190 MB.
[2026-03-06T08:46:37.776Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T08:46:40.757Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T08:46:42.678Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T08:46:44.602Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T08:46:46.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T08:46:47.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T08:46:48.394Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T08:46:50.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T08:46:50.311Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T08:46:50.311Z] The best model improves the baseline by 14.52%.
[2026-03-06T08:46:50.311Z] Top recommended movies for user id 72:
[2026-03-06T08:46:50.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T08:46:50.311Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T08:46:50.311Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T08:46:50.311Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T08:46:50.311Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T08:46:50.311Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15032.880 ms) ======
[2026-03-06T08:46:51.245Z] -----------------------------------
[2026-03-06T08:46:51.245Z] renaissance-movie-lens_0_PASSED
[2026-03-06T08:46:51.245Z] -----------------------------------
[2026-03-06T08:46:51.245Z]
[2026-03-06T08:46:51.245Z] TEST TEARDOWN:
[2026-03-06T08:46:51.245Z] Nothing to be done for teardown.
[2026-03-06T08:46:51.245Z] renaissance-movie-lens_0 Finish Time: Fri Mar 6 08:46:50 2026 Epoch Time (ms): 1772786810783