renaissance-movie-lens_0
[2026-02-08T20:16:02.907Z] Running test renaissance-movie-lens_0 ...
[2026-02-08T20:16:02.907Z] ===============================================
[2026-02-08T20:16:02.907Z] renaissance-movie-lens_0 Start Time: Sun Feb 8 20:16:02 2026 Epoch Time (ms): 1770581762254
[2026-02-08T20:16:02.907Z] variation: NoOptions
[2026-02-08T20:16:02.907Z] JVM_OPTIONS:
[2026-02-08T20:16:02.907Z] { \
[2026-02-08T20:16:02.907Z] echo ""; echo "TEST SETUP:"; \
[2026-02-08T20:16:02.907Z] echo "Nothing to be done for setup."; \
[2026-02-08T20:16:02.908Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17705809577327/renaissance-movie-lens_0"; \
[2026-02-08T20:16:02.908Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17705809577327/renaissance-movie-lens_0"; \
[2026-02-08T20:16:02.908Z] echo ""; echo "TESTING:"; \
[2026-02-08T20:16:02.908Z] "/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_17705809577327/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-08T20:16:02.908Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17705809577327/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-08T20:16:02.908Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-08T20:16:02.908Z] echo "Nothing to be done for teardown."; \
[2026-02-08T20:16:02.908Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17705809577327/TestTargetResult";
[2026-02-08T20:16:02.908Z]
[2026-02-08T20:16:02.908Z] TEST SETUP:
[2026-02-08T20:16:02.908Z] Nothing to be done for setup.
[2026-02-08T20:16:02.908Z]
[2026-02-08T20:16:02.908Z] TESTING:
[2026-02-08T20:16:02.908Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-08T20:16:02.908Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17705809577327/renaissance-movie-lens_0/launcher-201602-8470081703087288054/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-08T20:16:02.908Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-08T20:16:02.908Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-08T20:16:08.314Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-08T20:16:17.829Z] 20:16:17.199 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-08T20:16:19.345Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-08T20:16:20.077Z] Training: 60056, validation: 20285, test: 19854
[2026-02-08T20:16:20.077Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-08T20:16:20.077Z] GC before operation: completed in 126.455 ms, heap usage 398.570 MB -> 75.838 MB.
[2026-02-08T20:16:26.702Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:16:30.982Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:16:33.830Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:16:37.108Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:16:39.470Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:16:40.983Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:16:42.499Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:16:44.852Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:16:45.588Z] 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.
[2026-02-08T20:16:45.588Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:16:45.588Z] Top recommended movies for user id 72:
[2026-02-08T20:16:45.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:16:45.588Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:16:45.589Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:16:45.589Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:16:45.589Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:16:45.589Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25534.599 ms) ======
[2026-02-08T20:16:45.589Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-08T20:16:45.589Z] GC before operation: completed in 123.719 ms, heap usage 304.129 MB -> 86.530 MB.
[2026-02-08T20:16:48.857Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:16:52.269Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:16:54.626Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:16:56.986Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:16:59.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:17:00.857Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:17:02.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:17:03.892Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:17:03.892Z] 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.
[2026-02-08T20:17:03.892Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:17:04.619Z] Top recommended movies for user id 72:
[2026-02-08T20:17:04.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:17:04.619Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:17:04.619Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:17:04.619Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:17:04.619Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:17:04.619Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18536.742 ms) ======
[2026-02-08T20:17:04.619Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-08T20:17:04.619Z] GC before operation: completed in 128.621 ms, heap usage 401.263 MB -> 88.755 MB.
[2026-02-08T20:17:08.360Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:17:10.717Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:17:17.695Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:17:20.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:17:21.560Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:17:23.068Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:17:29.650Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:17:32.927Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:17:33.659Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T20:17:33.659Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:17:33.659Z] Top recommended movies for user id 72:
[2026-02-08T20:17:33.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:17:33.659Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:17:33.659Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:17:33.659Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:17:33.659Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:17:33.659Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29047.151 ms) ======
[2026-02-08T20:17:33.659Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-08T20:17:33.659Z] GC before operation: completed in 122.989 ms, heap usage 99.629 MB -> 88.909 MB.
[2026-02-08T20:17:36.017Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:17:39.412Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:17:41.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:17:44.160Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:17:45.677Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:17:47.185Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:17:48.700Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:17:49.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:17:50.167Z] 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.
[2026-02-08T20:17:50.167Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:17:50.167Z] Top recommended movies for user id 72:
[2026-02-08T20:17:50.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:17:50.167Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:17:50.167Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:17:50.167Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:17:50.167Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:17:50.167Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16525.556 ms) ======
[2026-02-08T20:17:50.167Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-08T20:17:50.167Z] GC before operation: completed in 126.006 ms, heap usage 254.125 MB -> 89.545 MB.
[2026-02-08T20:17:53.005Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:17:55.364Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:17:57.722Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:18:00.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:18:01.589Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:18:03.103Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:18:04.620Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:18:06.976Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:18:06.976Z] 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.
[2026-02-08T20:18:06.976Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:18:07.704Z] Top recommended movies for user id 72:
[2026-02-08T20:18:07.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:18:07.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:18:07.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:18:07.705Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:18:07.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:18:07.705Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17088.295 ms) ======
[2026-02-08T20:18:07.705Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-08T20:18:07.705Z] GC before operation: completed in 119.677 ms, heap usage 294.653 MB -> 89.543 MB.
[2026-02-08T20:18:10.976Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:18:13.324Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:18:15.681Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:18:18.043Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:18:19.562Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:18:21.078Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:18:22.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:18:24.112Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:18:24.867Z] 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.
[2026-02-08T20:18:24.867Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:18:24.867Z] Top recommended movies for user id 72:
[2026-02-08T20:18:24.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:18:24.868Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:18:24.868Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:18:24.868Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:18:24.868Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:18:24.868Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17243.455 ms) ======
[2026-02-08T20:18:24.868Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-08T20:18:24.868Z] GC before operation: completed in 120.388 ms, heap usage 149.737 MB -> 89.609 MB.
[2026-02-08T20:18:27.227Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:18:30.087Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:18:32.448Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:18:34.806Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:18:36.320Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:18:37.839Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:18:39.363Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:18:40.883Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:18:40.884Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T20:18:40.884Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:18:40.884Z] Top recommended movies for user id 72:
[2026-02-08T20:18:40.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:18:40.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:18:40.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:18:40.884Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:18:40.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:18:40.884Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16417.924 ms) ======
[2026-02-08T20:18:40.884Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-08T20:18:41.627Z] GC before operation: completed in 120.342 ms, heap usage 293.334 MB -> 89.933 MB.
[2026-02-08T20:18:43.994Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:18:46.353Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:18:50.200Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:18:56.084Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:19:00.360Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:19:01.921Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:19:03.409Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:19:04.902Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:19:04.902Z] 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.
[2026-02-08T20:19:04.902Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:19:05.619Z] Top recommended movies for user id 72:
[2026-02-08T20:19:05.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:19:05.619Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:19:05.619Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:19:05.619Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:19:05.619Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:19:05.619Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23987.190 ms) ======
[2026-02-08T20:19:05.619Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-08T20:19:05.619Z] GC before operation: completed in 113.830 ms, heap usage 295.011 MB -> 90.074 MB.
[2026-02-08T20:19:07.939Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:19:10.300Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:19:12.747Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:19:15.407Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:19:16.898Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:19:18.378Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:19:19.913Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:19:21.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:19:21.397Z] 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.
[2026-02-08T20:19:21.397Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:19:21.397Z] Top recommended movies for user id 72:
[2026-02-08T20:19:21.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:19:21.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:19:21.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:19:21.397Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:19:21.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:19:21.397Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15919.712 ms) ======
[2026-02-08T20:19:21.397Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-08T20:19:21.397Z] GC before operation: completed in 113.899 ms, heap usage 428.184 MB -> 90.145 MB.
[2026-02-08T20:19:23.715Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:19:26.937Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:19:29.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:19:31.564Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:19:33.063Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:19:34.553Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:19:36.035Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:19:37.524Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:19:37.524Z] 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.
[2026-02-08T20:19:37.524Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:19:37.524Z] Top recommended movies for user id 72:
[2026-02-08T20:19:37.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:19:37.524Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:19:37.524Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:19:37.524Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:19:37.524Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:19:37.524Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16341.120 ms) ======
[2026-02-08T20:19:37.524Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-08T20:19:38.238Z] GC before operation: completed in 114.581 ms, heap usage 369.432 MB -> 90.321 MB.
[2026-02-08T20:19:40.551Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:19:42.864Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:19:46.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:19:48.387Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:19:49.110Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:19:51.422Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:19:52.912Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:19:54.164Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:19:54.164Z] 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.
[2026-02-08T20:19:54.164Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:19:55.458Z] Top recommended movies for user id 72:
[2026-02-08T20:19:55.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:19:55.458Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:19:55.458Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:19:55.458Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:19:55.458Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:19:55.458Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16675.852 ms) ======
[2026-02-08T20:19:55.458Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-08T20:19:55.458Z] GC before operation: completed in 119.108 ms, heap usage 297.515 MB -> 89.880 MB.
[2026-02-08T20:19:57.773Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:20:00.988Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:20:03.303Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:20:05.613Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:20:07.101Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:20:08.597Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:20:10.091Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:20:10.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:20:11.528Z] 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.
[2026-02-08T20:20:11.528Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:20:11.528Z] Top recommended movies for user id 72:
[2026-02-08T20:20:11.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:20:11.528Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:20:11.528Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:20:11.528Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:20:11.528Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:20:11.528Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16717.743 ms) ======
[2026-02-08T20:20:11.528Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-08T20:20:11.528Z] GC before operation: completed in 111.983 ms, heap usage 158.689 MB -> 89.933 MB.
[2026-02-08T20:20:13.845Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:20:16.173Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:20:18.492Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:20:20.818Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:20:23.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:20:23.856Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:20:25.349Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:20:26.845Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:20:27.560Z] 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.
[2026-02-08T20:20:27.560Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:20:27.560Z] Top recommended movies for user id 72:
[2026-02-08T20:20:27.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:20:27.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:20:27.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:20:27.560Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:20:27.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:20:27.560Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15884.986 ms) ======
[2026-02-08T20:20:27.560Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-08T20:20:27.560Z] GC before operation: completed in 112.212 ms, heap usage 255.562 MB -> 90.219 MB.
[2026-02-08T20:20:29.881Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:20:33.416Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:20:34.903Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:20:37.217Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:20:38.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:20:40.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:20:41.686Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:20:42.404Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:20:43.128Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T20:20:43.128Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:20:43.128Z] Top recommended movies for user id 72:
[2026-02-08T20:20:43.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:20:43.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:20:43.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:20:43.128Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:20:43.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:20:43.128Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15535.350 ms) ======
[2026-02-08T20:20:43.128Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-08T20:20:43.129Z] GC before operation: completed in 123.053 ms, heap usage 196.891 MB -> 89.901 MB.
[2026-02-08T20:20:45.445Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:20:47.760Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:20:50.072Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:20:52.393Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:20:53.881Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:20:54.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:20:56.083Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:20:57.571Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:20:57.571Z] 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.
[2026-02-08T20:20:57.571Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:20:57.571Z] Top recommended movies for user id 72:
[2026-02-08T20:20:57.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:20:57.571Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:20:57.571Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:20:57.571Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:20:57.571Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:20:57.571Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14632.409 ms) ======
[2026-02-08T20:20:57.571Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-08T20:20:58.288Z] GC before operation: completed in 121.941 ms, heap usage 436.721 MB -> 90.563 MB.
[2026-02-08T20:21:00.605Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:21:02.920Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:21:05.233Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:21:07.561Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:21:08.279Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:21:09.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:21:11.415Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:21:12.903Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:21:12.903Z] 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.
[2026-02-08T20:21:12.903Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:21:12.903Z] Top recommended movies for user id 72:
[2026-02-08T20:21:12.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:21:12.903Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:21:12.903Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:21:12.903Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:21:12.903Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:21:12.903Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14967.375 ms) ======
[2026-02-08T20:21:12.903Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-08T20:21:12.903Z] GC before operation: completed in 121.426 ms, heap usage 124.950 MB -> 91.532 MB.
[2026-02-08T20:21:15.221Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:21:17.537Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:21:20.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:21:23.070Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:21:23.790Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:21:25.279Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:21:26.776Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:21:28.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:21:28.268Z] 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.
[2026-02-08T20:21:28.268Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:21:28.268Z] Top recommended movies for user id 72:
[2026-02-08T20:21:28.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:21:28.268Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:21:28.268Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:21:28.268Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:21:28.268Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:21:28.268Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15438.565 ms) ======
[2026-02-08T20:21:28.268Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-08T20:21:28.988Z] GC before operation: completed in 118.528 ms, heap usage 288.101 MB -> 90.385 MB.
[2026-02-08T20:21:31.304Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:21:33.621Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:21:35.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:21:38.276Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:21:41.154Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:21:41.869Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:21:43.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:21:44.858Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:21:45.598Z] 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.
[2026-02-08T20:21:45.598Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:21:45.598Z] Top recommended movies for user id 72:
[2026-02-08T20:21:45.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:21:45.598Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:21:45.598Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:21:45.598Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:21:45.598Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:21:45.598Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16765.674 ms) ======
[2026-02-08T20:21:45.598Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-08T20:21:45.598Z] GC before operation: completed in 119.558 ms, heap usage 263.823 MB -> 90.122 MB.
[2026-02-08T20:21:48.810Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:21:51.124Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:21:52.618Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:21:55.445Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:21:56.163Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:21:57.643Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:21:59.126Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:22:00.638Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:22:00.638Z] 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.
[2026-02-08T20:22:00.638Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:22:00.638Z] Top recommended movies for user id 72:
[2026-02-08T20:22:00.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:22:00.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:22:00.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:22:00.638Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:22:00.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:22:00.638Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15118.795 ms) ======
[2026-02-08T20:22:00.638Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-08T20:22:00.638Z] GC before operation: completed in 120.850 ms, heap usage 241.393 MB -> 90.163 MB.
[2026-02-08T20:22:02.964Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T20:22:05.277Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T20:22:07.591Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T20:22:09.086Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T20:22:10.576Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T20:22:12.064Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T20:22:13.555Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T20:22:14.276Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T20:22:15.000Z] 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.
[2026-02-08T20:22:15.000Z] The best model improves the baseline by 14.52%.
[2026-02-08T20:22:15.000Z] Top recommended movies for user id 72:
[2026-02-08T20:22:15.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T20:22:15.000Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T20:22:15.000Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T20:22:15.000Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T20:22:15.000Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T20:22:15.000Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14231.815 ms) ======
[2026-02-08T20:22:15.717Z] -----------------------------------
[2026-02-08T20:22:15.717Z] renaissance-movie-lens_0_PASSED
[2026-02-08T20:22:15.717Z] -----------------------------------
[2026-02-08T20:22:15.717Z]
[2026-02-08T20:22:15.717Z] TEST TEARDOWN:
[2026-02-08T20:22:15.717Z] Nothing to be done for teardown.
[2026-02-08T20:22:15.717Z] renaissance-movie-lens_0 Finish Time: Sun Feb 8 20:22:15 2026 Epoch Time (ms): 1770582135065