renaissance-movie-lens_0
[2026-02-05T22:31:27.313Z] Running test renaissance-movie-lens_0 ...
[2026-02-05T22:31:27.313Z] ===============================================
[2026-02-05T22:31:27.313Z] renaissance-movie-lens_0 Start Time: Thu Feb 5 22:31:26 2026 Epoch Time (ms): 1770330686378
[2026-02-05T22:31:27.313Z] variation: NoOptions
[2026-02-05T22:31:27.313Z] JVM_OPTIONS:
[2026-02-05T22:31:27.313Z] { \
[2026-02-05T22:31:27.313Z] echo ""; echo "TEST SETUP:"; \
[2026-02-05T22:31:27.313Z] echo "Nothing to be done for setup."; \
[2026-02-05T22:31:27.313Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_177032968229/renaissance-movie-lens_0"; \
[2026-02-05T22:31:27.313Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_177032968229/renaissance-movie-lens_0"; \
[2026-02-05T22:31:27.313Z] echo ""; echo "TESTING:"; \
[2026-02-05T22:31:27.313Z] "/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_177032968229/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-05T22:31:27.313Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_177032968229/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-05T22:31:27.313Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-05T22:31:27.313Z] echo "Nothing to be done for teardown."; \
[2026-02-05T22:31:27.313Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_177032968229/TestTargetResult";
[2026-02-05T22:31:27.313Z]
[2026-02-05T22:31:27.313Z] TEST SETUP:
[2026-02-05T22:31:27.313Z] Nothing to be done for setup.
[2026-02-05T22:31:27.313Z]
[2026-02-05T22:31:27.313Z] TESTING:
[2026-02-05T22:31:27.313Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-05T22:31:27.313Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_177032968229/renaissance-movie-lens_0/launcher-223126-5743332122636177998/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-05T22:31:27.313Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-05T22:31:27.313Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-05T22:31:34.094Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-05T22:31:43.980Z] 22:31:42.513 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-05T22:31:44.950Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-05T22:31:45.925Z] Training: 60056, validation: 20285, test: 19854
[2026-02-05T22:31:45.926Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-05T22:31:45.926Z] GC before operation: completed in 112.473 ms, heap usage 175.167 MB -> 75.676 MB.
[2026-02-05T22:31:52.728Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:31:56.959Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:32:01.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:32:04.328Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:32:06.324Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:32:08.311Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:32:10.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:32:12.733Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:32:13.705Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:32:13.705Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:32:13.705Z] Top recommended movies for user id 72:
[2026-02-05T22:32:13.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:32:13.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:32:13.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:32:13.705Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:32:13.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:32:13.705Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27666.036 ms) ======
[2026-02-05T22:32:13.705Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-05T22:32:13.705Z] GC before operation: completed in 143.979 ms, heap usage 117.309 MB -> 88.828 MB.
[2026-02-05T22:32:16.787Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:32:21.012Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:32:24.085Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:32:27.156Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:32:29.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:32:31.155Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:32:33.150Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:32:35.139Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:32:35.139Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:32:35.139Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:32:35.139Z] Top recommended movies for user id 72:
[2026-02-05T22:32:35.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:32:35.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:32:35.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:32:35.139Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:32:35.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:32:35.139Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21668.633 ms) ======
[2026-02-05T22:32:35.139Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-05T22:32:35.139Z] GC before operation: completed in 144.884 ms, heap usage 454.058 MB -> 88.822 MB.
[2026-02-05T22:32:38.221Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:32:41.289Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:32:45.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:32:47.501Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:32:49.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:32:51.492Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:32:52.463Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:32:55.608Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:32:55.608Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:32:55.608Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:32:55.608Z] Top recommended movies for user id 72:
[2026-02-05T22:32:55.608Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:32:55.608Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:32:55.608Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:32:55.608Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:32:55.608Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:32:55.608Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19964.152 ms) ======
[2026-02-05T22:32:55.608Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-05T22:32:55.608Z] GC before operation: completed in 153.847 ms, heap usage 122.543 MB -> 90.912 MB.
[2026-02-05T22:32:58.679Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:33:01.752Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:33:04.819Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:33:08.376Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:33:10.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:33:12.467Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:33:13.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:33:15.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:33:15.432Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:33:15.432Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:33:16.398Z] Top recommended movies for user id 72:
[2026-02-05T22:33:16.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:33:16.398Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:33:16.398Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:33:16.398Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:33:16.398Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:33:16.398Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20324.241 ms) ======
[2026-02-05T22:33:16.398Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-05T22:33:16.398Z] GC before operation: completed in 158.463 ms, heap usage 503.433 MB -> 89.926 MB.
[2026-02-05T22:33:19.548Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:33:22.651Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:33:25.728Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:33:28.794Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:33:30.791Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:33:32.785Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:33:34.896Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:33:36.999Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:33:36.999Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:33:36.999Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:33:36.999Z] Top recommended movies for user id 72:
[2026-02-05T22:33:36.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:33:36.999Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:33:36.999Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:33:36.999Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:33:36.999Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:33:36.999Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21240.125 ms) ======
[2026-02-05T22:33:36.999Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-05T22:33:37.964Z] GC before operation: completed in 155.528 ms, heap usage 106.847 MB -> 89.248 MB.
[2026-02-05T22:33:41.043Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:33:43.031Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:33:46.392Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:33:49.849Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:33:51.008Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:33:53.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:33:55.106Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:33:57.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:33:57.100Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:33:57.100Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:33:57.100Z] Top recommended movies for user id 72:
[2026-02-05T22:33:57.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:33:57.100Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:33:57.100Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:33:57.100Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:33:57.100Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:33:57.100Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19917.019 ms) ======
[2026-02-05T22:33:57.100Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-05T22:33:58.088Z] GC before operation: completed in 162.095 ms, heap usage 356.416 MB -> 90.010 MB.
[2026-02-05T22:34:02.025Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:34:04.025Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:34:07.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:34:10.517Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:34:12.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:34:14.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:34:15.463Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:34:17.455Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:34:17.455Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:34:17.455Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:34:17.455Z] Top recommended movies for user id 72:
[2026-02-05T22:34:17.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:34:17.455Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:34:17.455Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:34:17.455Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:34:17.455Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:34:17.455Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19774.725 ms) ======
[2026-02-05T22:34:17.456Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-05T22:34:17.456Z] GC before operation: completed in 149.494 ms, heap usage 189.865 MB -> 89.641 MB.
[2026-02-05T22:34:20.527Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:34:23.597Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:34:25.588Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:34:28.682Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:34:30.671Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:34:31.641Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:34:33.662Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:34:35.666Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:34:35.666Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:34:35.666Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:34:35.666Z] Top recommended movies for user id 72:
[2026-02-05T22:34:35.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:34:35.666Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:34:35.666Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:34:35.666Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:34:35.666Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:34:35.666Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18532.118 ms) ======
[2026-02-05T22:34:35.666Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-05T22:34:36.634Z] GC before operation: completed in 225.437 ms, heap usage 282.095 MB -> 90.066 MB.
[2026-02-05T22:34:39.717Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:34:41.716Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:34:44.861Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:34:48.108Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:34:49.098Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:34:51.087Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:34:52.062Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:34:54.095Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:34:54.095Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:34:54.095Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:34:54.095Z] Top recommended movies for user id 72:
[2026-02-05T22:34:54.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:34:54.095Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:34:54.095Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:34:54.095Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:34:54.095Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:34:54.095Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17997.799 ms) ======
[2026-02-05T22:34:54.095Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-05T22:34:54.095Z] GC before operation: completed in 157.533 ms, heap usage 333.150 MB -> 89.909 MB.
[2026-02-05T22:34:57.917Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:34:59.923Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:35:03.009Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:35:06.134Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:35:07.159Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:35:09.148Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:35:11.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:35:13.154Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:35:13.154Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:35:13.154Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:35:13.154Z] Top recommended movies for user id 72:
[2026-02-05T22:35:13.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:35:13.154Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:35:13.154Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:35:13.154Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:35:13.154Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:35:13.154Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18586.464 ms) ======
[2026-02-05T22:35:13.154Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-05T22:35:13.154Z] GC before operation: completed in 144.554 ms, heap usage 158.319 MB -> 90.995 MB.
[2026-02-05T22:35:16.228Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:35:18.220Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:35:21.306Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:35:24.390Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:35:25.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:35:27.356Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:35:29.353Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:35:30.327Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:35:30.327Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:35:31.294Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:35:31.294Z] Top recommended movies for user id 72:
[2026-02-05T22:35:31.294Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:35:31.294Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:35:31.294Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:35:31.294Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:35:31.294Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:35:31.294Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17838.725 ms) ======
[2026-02-05T22:35:31.294Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-05T22:35:31.294Z] GC before operation: completed in 150.778 ms, heap usage 356.685 MB -> 89.957 MB.
[2026-02-05T22:35:33.283Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:35:36.362Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:35:39.438Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:35:41.449Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:35:43.441Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:35:44.424Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:35:46.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:35:48.411Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:35:48.411Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:35:48.411Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:35:48.411Z] Top recommended movies for user id 72:
[2026-02-05T22:35:48.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:35:48.411Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:35:48.411Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:35:48.411Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:35:48.411Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:35:48.411Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17428.430 ms) ======
[2026-02-05T22:35:48.411Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-05T22:35:48.411Z] GC before operation: completed in 158.204 ms, heap usage 424.627 MB -> 90.226 MB.
[2026-02-05T22:35:51.958Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:35:53.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:35:55.935Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:35:58.999Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:35:59.969Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:36:02.114Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:36:03.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:36:05.076Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:36:05.076Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:36:05.076Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:36:05.076Z] Top recommended movies for user id 72:
[2026-02-05T22:36:05.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:36:05.076Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:36:05.076Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:36:05.076Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:36:05.076Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:36:05.076Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16260.441 ms) ======
[2026-02-05T22:36:05.076Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-05T22:36:05.076Z] GC before operation: completed in 154.135 ms, heap usage 663.687 MB -> 93.905 MB.
[2026-02-05T22:36:08.149Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:36:10.137Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:36:13.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:36:15.193Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:36:17.178Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:36:18.151Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:36:20.134Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:36:21.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:36:21.106Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:36:22.077Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:36:22.077Z] Top recommended movies for user id 72:
[2026-02-05T22:36:22.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:36:22.077Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:36:22.077Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:36:22.077Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:36:22.077Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:36:22.077Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16573.466 ms) ======
[2026-02-05T22:36:22.077Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-05T22:36:22.077Z] GC before operation: completed in 148.062 ms, heap usage 353.998 MB -> 90.069 MB.
[2026-02-05T22:36:25.142Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:36:27.133Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:36:30.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:36:32.234Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:36:34.229Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:36:36.218Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:36:37.198Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:36:39.191Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:36:39.191Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:36:39.191Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:36:39.191Z] Top recommended movies for user id 72:
[2026-02-05T22:36:39.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:36:39.192Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:36:39.192Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:36:39.192Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:36:39.192Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:36:39.192Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17462.569 ms) ======
[2026-02-05T22:36:39.192Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-05T22:36:39.192Z] GC before operation: completed in 140.857 ms, heap usage 423.863 MB -> 90.481 MB.
[2026-02-05T22:36:43.008Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:36:44.997Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:36:46.986Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:36:50.055Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:36:51.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:36:53.018Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:36:55.011Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:36:55.983Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:36:55.983Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:36:55.983Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:36:56.961Z] Top recommended movies for user id 72:
[2026-02-05T22:36:56.961Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:36:56.961Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:36:56.961Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:36:56.961Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:36:56.961Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:36:56.961Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17028.971 ms) ======
[2026-02-05T22:36:56.961Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-05T22:36:56.961Z] GC before operation: completed in 154.046 ms, heap usage 211.113 MB -> 89.874 MB.
[2026-02-05T22:36:58.950Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:37:02.035Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:37:05.102Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:37:07.092Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:37:09.081Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:37:10.047Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:37:11.018Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:37:13.033Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:37:13.033Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:37:13.033Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:37:13.033Z] Top recommended movies for user id 72:
[2026-02-05T22:37:13.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:37:13.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:37:13.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:37:13.033Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:37:13.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:37:13.033Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16567.106 ms) ======
[2026-02-05T22:37:13.033Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-05T22:37:13.033Z] GC before operation: completed in 155.640 ms, heap usage 418.054 MB -> 90.357 MB.
[2026-02-05T22:37:16.106Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:37:18.103Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:37:21.186Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:37:24.251Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:37:25.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:37:27.213Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:37:28.182Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:37:30.176Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:37:30.176Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:37:30.176Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:37:30.176Z] Top recommended movies for user id 72:
[2026-02-05T22:37:30.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:37:30.176Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:37:30.176Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:37:30.176Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:37:30.176Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:37:30.176Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16839.599 ms) ======
[2026-02-05T22:37:30.176Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-05T22:37:30.176Z] GC before operation: completed in 160.284 ms, heap usage 353.017 MB -> 90.053 MB.
[2026-02-05T22:37:33.247Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:37:35.664Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:37:37.659Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:37:40.737Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:37:42.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:37:43.696Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:37:45.695Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:37:47.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:37:47.683Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:37:47.683Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:37:47.683Z] Top recommended movies for user id 72:
[2026-02-05T22:37:47.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:37:47.683Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:37:47.683Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:37:47.683Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:37:47.683Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:37:47.683Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17240.884 ms) ======
[2026-02-05T22:37:47.683Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-05T22:37:47.683Z] GC before operation: completed in 169.114 ms, heap usage 364.016 MB -> 90.245 MB.
[2026-02-05T22:37:50.756Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T22:37:52.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T22:37:55.854Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T22:37:57.844Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T22:37:59.836Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T22:38:01.822Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T22:38:02.789Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T22:38:04.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T22:38:04.783Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T22:38:04.783Z] The best model improves the baseline by 14.52%.
[2026-02-05T22:38:04.783Z] Top recommended movies for user id 72:
[2026-02-05T22:38:04.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T22:38:04.783Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T22:38:04.783Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T22:38:04.783Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T22:38:04.783Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T22:38:04.783Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16941.949 ms) ======
[2026-02-05T22:38:05.749Z] -----------------------------------
[2026-02-05T22:38:05.749Z] renaissance-movie-lens_0_PASSED
[2026-02-05T22:38:05.749Z] -----------------------------------
[2026-02-05T22:38:05.749Z]
[2026-02-05T22:38:05.749Z] TEST TEARDOWN:
[2026-02-05T22:38:05.749Z] Nothing to be done for teardown.
[2026-02-05T22:38:05.749Z] renaissance-movie-lens_0 Finish Time: Thu Feb 5 22:38:05 2026 Epoch Time (ms): 1770331085202