renaissance-movie-lens_0
[2026-02-27T03:51:02.816Z] Running test renaissance-movie-lens_0 ...
[2026-02-27T03:51:02.816Z] ===============================================
[2026-02-27T03:51:02.816Z] renaissance-movie-lens_0 Start Time: Fri Feb 27 03:51:02 2026 Epoch Time (ms): 1772164262636
[2026-02-27T03:51:02.816Z] variation: NoOptions
[2026-02-27T03:51:02.816Z] JVM_OPTIONS:
[2026-02-27T03:51:02.816Z] { \
[2026-02-27T03:51:02.816Z] echo ""; echo "TEST SETUP:"; \
[2026-02-27T03:51:02.816Z] echo "Nothing to be done for setup."; \
[2026-02-27T03:51:02.816Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721632352539/renaissance-movie-lens_0"; \
[2026-02-27T03:51:02.816Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721632352539/renaissance-movie-lens_0"; \
[2026-02-27T03:51:02.816Z] echo ""; echo "TESTING:"; \
[2026-02-27T03:51:02.816Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721632352539/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-27T03:51:02.816Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721632352539/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-27T03:51:02.816Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-27T03:51:02.816Z] echo "Nothing to be done for teardown."; \
[2026-02-27T03:51:02.816Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721632352539/TestTargetResult";
[2026-02-27T03:51:02.816Z]
[2026-02-27T03:51:02.816Z] TEST SETUP:
[2026-02-27T03:51:02.816Z] Nothing to be done for setup.
[2026-02-27T03:51:02.816Z]
[2026-02-27T03:51:02.816Z] TESTING:
[2026-02-27T03:51:03.760Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-27T03:51:03.760Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17721632352539/renaissance-movie-lens_0/launcher-035102-7877364688560771090/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-27T03:51:03.760Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-27T03:51:03.760Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-27T03:51:07.986Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-27T03:51:14.538Z] 03:51:13.780 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-27T03:51:16.872Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-27T03:51:16.872Z] Training: 60056, validation: 20285, test: 19854
[2026-02-27T03:51:16.872Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-27T03:51:16.872Z] GC before operation: completed in 125.348 ms, heap usage 200.680 MB -> 75.615 MB.
[2026-02-27T03:51:23.465Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:51:26.731Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:51:29.976Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:51:33.228Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:51:35.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:51:37.075Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:51:38.577Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:51:40.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:51:40.917Z] 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.
[2026-02-27T03:51:40.917Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:51:40.917Z] Top recommended movies for user id 72:
[2026-02-27T03:51:40.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:51:40.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:51:40.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:51:40.917Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:51:40.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:51:40.917Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23868.602 ms) ======
[2026-02-27T03:51:40.917Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-27T03:51:40.917Z] GC before operation: completed in 142.612 ms, heap usage 191.852 MB -> 90.709 MB.
[2026-02-27T03:51:44.334Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:51:47.134Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:51:49.521Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:51:52.759Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:51:54.262Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:51:55.764Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:51:58.104Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:51:59.609Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:51:59.610Z] 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.
[2026-02-27T03:51:59.610Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:51:59.610Z] Top recommended movies for user id 72:
[2026-02-27T03:51:59.610Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:51:59.610Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:51:59.610Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:51:59.610Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:51:59.610Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:51:59.610Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18465.529 ms) ======
[2026-02-27T03:51:59.610Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-27T03:51:59.610Z] GC before operation: completed in 110.859 ms, heap usage 413.046 MB -> 88.686 MB.
[2026-02-27T03:52:02.838Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:52:05.170Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:52:08.435Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:52:10.764Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:52:13.129Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:52:14.626Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:52:16.121Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:52:17.617Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:52:17.617Z] 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.
[2026-02-27T03:52:17.617Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:52:17.617Z] Top recommended movies for user id 72:
[2026-02-27T03:52:17.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:52:17.617Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:52:17.617Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:52:17.617Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:52:17.617Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:52:17.617Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18093.127 ms) ======
[2026-02-27T03:52:17.617Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-27T03:52:18.336Z] GC before operation: completed in 123.191 ms, heap usage 161.957 MB -> 89.078 MB.
[2026-02-27T03:52:20.675Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:52:23.050Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:52:25.389Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:52:28.613Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:52:29.335Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:52:31.005Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:52:32.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:52:33.996Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:52:34.720Z] 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.
[2026-02-27T03:52:34.720Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:52:34.720Z] Top recommended movies for user id 72:
[2026-02-27T03:52:34.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:52:34.720Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:52:34.720Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:52:34.720Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:52:34.720Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:52:34.720Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16505.434 ms) ======
[2026-02-27T03:52:34.720Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-27T03:52:34.720Z] GC before operation: completed in 119.477 ms, heap usage 553.164 MB -> 93.058 MB.
[2026-02-27T03:52:37.061Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:52:40.292Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:52:42.622Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:52:45.061Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:52:46.570Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:52:48.893Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:52:50.391Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:52:51.888Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:52:51.888Z] 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.
[2026-02-27T03:52:51.888Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:52:51.888Z] Top recommended movies for user id 72:
[2026-02-27T03:52:51.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:52:51.888Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:52:51.888Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:52:51.888Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:52:51.888Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:52:51.888Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17369.520 ms) ======
[2026-02-27T03:52:51.888Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-27T03:52:51.888Z] GC before operation: completed in 124.193 ms, heap usage 369.329 MB -> 89.569 MB.
[2026-02-27T03:52:55.123Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:52:57.455Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:52:59.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:53:02.133Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:53:03.626Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:53:05.119Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:53:06.617Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:53:08.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:53:08.597Z] 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.
[2026-02-27T03:53:08.597Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:53:08.597Z] Top recommended movies for user id 72:
[2026-02-27T03:53:08.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:53:08.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:53:08.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:53:08.597Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:53:08.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:53:08.597Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16263.016 ms) ======
[2026-02-27T03:53:08.597Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-27T03:53:08.597Z] GC before operation: completed in 133.660 ms, heap usage 424.453 MB -> 89.939 MB.
[2026-02-27T03:53:10.929Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:53:14.178Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:53:16.514Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:53:18.839Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:53:20.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:53:21.809Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:53:23.290Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:53:24.775Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:53:24.775Z] 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.
[2026-02-27T03:53:24.775Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:53:25.494Z] Top recommended movies for user id 72:
[2026-02-27T03:53:25.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:53:25.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:53:25.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:53:25.494Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:53:25.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:53:25.494Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16611.132 ms) ======
[2026-02-27T03:53:25.494Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-27T03:53:25.494Z] GC before operation: completed in 109.912 ms, heap usage 369.028 MB -> 89.823 MB.
[2026-02-27T03:53:27.807Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:53:31.010Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:53:33.358Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:53:35.674Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:53:37.161Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:53:38.646Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:53:41.855Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:53:42.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:53:43.295Z] 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.
[2026-02-27T03:53:43.295Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:53:43.295Z] Top recommended movies for user id 72:
[2026-02-27T03:53:43.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:53:43.295Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:53:43.295Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:53:43.295Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:53:43.295Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:53:43.295Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17966.714 ms) ======
[2026-02-27T03:53:43.295Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-27T03:53:43.295Z] GC before operation: completed in 113.035 ms, heap usage 449.610 MB -> 90.142 MB.
[2026-02-27T03:53:50.354Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:53:55.623Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:53:58.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:54:00.388Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:54:01.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:54:05.081Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:54:06.591Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:54:08.110Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:54:08.110Z] 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.
[2026-02-27T03:54:08.110Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:54:08.841Z] Top recommended movies for user id 72:
[2026-02-27T03:54:08.841Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:54:08.841Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:54:08.841Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:54:08.841Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:54:08.841Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:54:08.841Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25170.051 ms) ======
[2026-02-27T03:54:08.841Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-27T03:54:08.841Z] GC before operation: completed in 127.279 ms, heap usage 477.603 MB -> 90.078 MB.
[2026-02-27T03:54:11.256Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:54:13.564Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:54:17.073Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:54:18.559Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:54:19.278Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:54:20.764Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:54:22.252Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:54:23.741Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:54:23.741Z] 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.
[2026-02-27T03:54:24.460Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:54:24.460Z] Top recommended movies for user id 72:
[2026-02-27T03:54:24.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:54:24.460Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:54:24.460Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:54:24.460Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:54:24.460Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:54:24.460Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15633.236 ms) ======
[2026-02-27T03:54:24.460Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-27T03:54:24.460Z] GC before operation: completed in 112.381 ms, heap usage 374.518 MB -> 90.180 MB.
[2026-02-27T03:54:26.769Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:54:29.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:54:31.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:54:34.205Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:54:35.695Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:54:37.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:54:38.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:54:40.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:54:40.194Z] 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.
[2026-02-27T03:54:40.194Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:54:40.194Z] Top recommended movies for user id 72:
[2026-02-27T03:54:40.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:54:40.194Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:54:40.194Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:54:40.194Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:54:40.194Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:54:40.194Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15943.314 ms) ======
[2026-02-27T03:54:40.194Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-27T03:54:40.194Z] GC before operation: completed in 112.164 ms, heap usage 97.275 MB -> 89.715 MB.
[2026-02-27T03:54:42.504Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:54:44.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:54:47.285Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:54:49.617Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:54:51.144Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:54:52.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:54:54.121Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:54:55.608Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:54:55.608Z] 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.
[2026-02-27T03:54:55.608Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:54:56.323Z] Top recommended movies for user id 72:
[2026-02-27T03:54:56.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:54:56.323Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:54:56.323Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:54:56.323Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:54:56.323Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:54:56.323Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15587.085 ms) ======
[2026-02-27T03:54:56.323Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-27T03:54:56.323Z] GC before operation: completed in 117.560 ms, heap usage 402.924 MB -> 90.129 MB.
[2026-02-27T03:54:58.633Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:55:00.952Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:55:03.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:55:05.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:55:07.081Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:55:09.024Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:55:10.513Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:55:11.996Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:55:11.996Z] 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.
[2026-02-27T03:55:11.996Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:55:11.996Z] Top recommended movies for user id 72:
[2026-02-27T03:55:11.996Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:55:11.996Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:55:11.996Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:55:11.996Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:55:11.996Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:55:11.996Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15822.128 ms) ======
[2026-02-27T03:55:11.996Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-27T03:55:11.996Z] GC before operation: completed in 117.247 ms, heap usage 197.512 MB -> 89.959 MB.
[2026-02-27T03:55:14.312Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:55:17.532Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:55:19.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:55:21.335Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:55:22.824Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:55:24.312Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:55:25.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:55:27.285Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:55:27.285Z] 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.
[2026-02-27T03:55:27.285Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:55:27.285Z] Top recommended movies for user id 72:
[2026-02-27T03:55:27.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:55:27.285Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:55:27.285Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:55:27.285Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:55:27.285Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:55:27.285Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15255.253 ms) ======
[2026-02-27T03:55:27.285Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-27T03:55:27.285Z] GC before operation: completed in 110.974 ms, heap usage 520.830 MB -> 90.266 MB.
[2026-02-27T03:55:29.603Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:55:31.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:55:34.246Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:55:36.563Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:55:38.096Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:55:39.586Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:55:41.071Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:55:42.553Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:55:43.268Z] 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.
[2026-02-27T03:55:43.268Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:55:43.268Z] Top recommended movies for user id 72:
[2026-02-27T03:55:43.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:55:43.268Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:55:43.268Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:55:43.268Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:55:43.268Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:55:43.268Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15813.495 ms) ======
[2026-02-27T03:55:43.268Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-27T03:55:43.268Z] GC before operation: completed in 119.657 ms, heap usage 443.357 MB -> 90.405 MB.
[2026-02-27T03:55:45.679Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:55:48.891Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:55:50.748Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:55:53.981Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:55:55.469Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:55:57.888Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:55:59.376Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:56:00.873Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:56:00.873Z] 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.
[2026-02-27T03:56:00.873Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:56:00.873Z] Top recommended movies for user id 72:
[2026-02-27T03:56:00.873Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:56:00.873Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:56:00.873Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:56:00.873Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:56:00.873Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:56:00.873Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17731.851 ms) ======
[2026-02-27T03:56:00.873Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-27T03:56:01.591Z] GC before operation: completed in 122.824 ms, heap usage 296.342 MB -> 90.006 MB.
[2026-02-27T03:56:03.993Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:56:06.297Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:56:08.612Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:56:10.096Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:56:11.581Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:56:13.076Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:56:14.557Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:56:16.039Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:56:16.755Z] 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.
[2026-02-27T03:56:16.755Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:56:16.755Z] Top recommended movies for user id 72:
[2026-02-27T03:56:16.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:56:16.755Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:56:16.755Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:56:16.755Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:56:16.755Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:56:16.755Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15442.862 ms) ======
[2026-02-27T03:56:16.756Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-27T03:56:16.756Z] GC before operation: completed in 122.399 ms, heap usage 398.855 MB -> 90.302 MB.
[2026-02-27T03:56:19.107Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:56:22.323Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:56:24.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:56:26.949Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:56:28.436Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:56:29.918Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:56:31.402Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:56:33.120Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:56:33.120Z] 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.
[2026-02-27T03:56:33.120Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:56:34.065Z] Top recommended movies for user id 72:
[2026-02-27T03:56:34.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:56:34.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:56:34.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:56:34.065Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:56:34.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:56:34.065Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16585.359 ms) ======
[2026-02-27T03:56:34.065Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-27T03:56:34.065Z] GC before operation: completed in 114.318 ms, heap usage 295.714 MB -> 89.950 MB.
[2026-02-27T03:56:36.376Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:56:38.682Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:56:40.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:56:43.309Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:56:44.886Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:56:46.366Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:56:47.853Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:56:49.340Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:56:49.340Z] 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.
[2026-02-27T03:56:49.340Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:56:49.340Z] Top recommended movies for user id 72:
[2026-02-27T03:56:49.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:56:49.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:56:49.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:56:49.340Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:56:49.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:56:49.340Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16122.285 ms) ======
[2026-02-27T03:56:49.340Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-27T03:56:50.055Z] GC before operation: completed in 116.291 ms, heap usage 423.544 MB -> 90.201 MB.
[2026-02-27T03:56:52.362Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T03:56:54.725Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T03:56:58.138Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T03:57:00.453Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T03:57:01.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T03:57:03.444Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T03:57:04.931Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T03:57:06.422Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T03:57:07.137Z] 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.
[2026-02-27T03:57:07.137Z] The best model improves the baseline by 14.52%.
[2026-02-27T03:57:07.137Z] Top recommended movies for user id 72:
[2026-02-27T03:57:07.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T03:57:07.138Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T03:57:07.138Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T03:57:07.138Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T03:57:07.138Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T03:57:07.138Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17264.118 ms) ======
[2026-02-27T03:57:07.138Z] -----------------------------------
[2026-02-27T03:57:07.138Z] renaissance-movie-lens_0_PASSED
[2026-02-27T03:57:07.138Z] -----------------------------------
[2026-02-27T03:57:07.138Z]
[2026-02-27T03:57:07.138Z] TEST TEARDOWN:
[2026-02-27T03:57:07.138Z] Nothing to be done for teardown.
[2026-02-27T03:57:07.138Z] renaissance-movie-lens_0 Finish Time: Fri Feb 27 03:57:07 2026 Epoch Time (ms): 1772164627019