renaissance-movie-lens_0
[2025-10-17T15:09:52.829Z] Running test renaissance-movie-lens_0 ...
[2025-10-17T15:09:52.829Z] ===============================================
[2025-10-17T15:09:52.829Z] renaissance-movie-lens_0 Start Time: Fri Oct 17 15:09:52 2025 Epoch Time (ms): 1760713792147
[2025-10-17T15:09:52.829Z] variation: NoOptions
[2025-10-17T15:09:52.829Z] JVM_OPTIONS:
[2025-10-17T15:09:52.829Z] { \
[2025-10-17T15:09:52.829Z] echo ""; echo "TEST SETUP:"; \
[2025-10-17T15:09:52.829Z] echo "Nothing to be done for setup."; \
[2025-10-17T15:09:52.829Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1760711869931/renaissance-movie-lens_0"; \
[2025-10-17T15:09:52.829Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1760711869931/renaissance-movie-lens_0"; \
[2025-10-17T15:09:52.829Z] echo ""; echo "TESTING:"; \
[2025-10-17T15:09:52.829Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1760711869931/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-17T15:09:52.829Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1760711869931/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-17T15:09:52.829Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-17T15:09:52.829Z] echo "Nothing to be done for teardown."; \
[2025-10-17T15:09:52.829Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1760711869931/TestTargetResult";
[2025-10-17T15:09:52.829Z]
[2025-10-17T15:09:52.829Z] TEST SETUP:
[2025-10-17T15:09:52.829Z] Nothing to be done for setup.
[2025-10-17T15:09:52.829Z]
[2025-10-17T15:09:52.829Z] TESTING:
[2025-10-17T15:09:53.776Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-10-17T15:09:53.776Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_1760711869931/renaissance-movie-lens_0/launcher-150952-12502571379694761521/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-10-17T15:09:53.776Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-10-17T15:09:53.776Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-10-17T15:10:00.590Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-10-17T15:10:10.288Z] 15:10:09.737 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.
[2025-10-17T15:10:13.296Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-17T15:10:13.296Z] Training: 60056, validation: 20285, test: 19854
[2025-10-17T15:10:13.296Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-17T15:10:14.245Z] GC before operation: completed in 289.690 ms, heap usage 431.664 MB -> 75.689 MB.
[2025-10-17T15:10:22.828Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:10:26.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:10:31.097Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:10:35.229Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:10:38.229Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:10:40.172Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:10:43.176Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:10:45.129Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:10:45.129Z] 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.
[2025-10-17T15:10:45.129Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:10:46.078Z] Top recommended movies for user id 72:
[2025-10-17T15:10:46.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:10:46.078Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:10:46.078Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:10:46.078Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:10:46.078Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:10:46.078Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31649.882 ms) ======
[2025-10-17T15:10:46.078Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-17T15:10:46.078Z] GC before operation: completed in 196.447 ms, heap usage 109.814 MB -> 89.701 MB.
[2025-10-17T15:10:50.215Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:10:53.219Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:10:57.355Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:11:00.361Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:11:02.313Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:11:04.336Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:11:07.340Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:11:09.692Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:11:09.692Z] 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.
[2025-10-17T15:11:09.692Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:11:09.692Z] Top recommended movies for user id 72:
[2025-10-17T15:11:09.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:11:09.692Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:11:09.692Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:11:09.693Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:11:09.693Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:11:09.693Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23651.795 ms) ======
[2025-10-17T15:11:09.693Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-17T15:11:09.693Z] GC before operation: completed in 209.151 ms, heap usage 126.712 MB -> 89.305 MB.
[2025-10-17T15:11:12.695Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:11:16.830Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:11:19.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:11:22.830Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:11:24.779Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:11:26.724Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:11:28.668Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:11:30.609Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:11:30.609Z] 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.
[2025-10-17T15:11:31.565Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:11:31.565Z] Top recommended movies for user id 72:
[2025-10-17T15:11:31.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:11:31.565Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:11:31.565Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:11:31.565Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:11:31.565Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:11:31.565Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21593.181 ms) ======
[2025-10-17T15:11:31.565Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-17T15:11:31.565Z] GC before operation: completed in 203.618 ms, heap usage 395.531 MB -> 89.237 MB.
[2025-10-17T15:11:34.569Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:11:37.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:11:40.585Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:11:44.716Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:11:46.660Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:11:48.607Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:11:50.545Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:11:52.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:11:52.493Z] 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.
[2025-10-17T15:11:52.493Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:11:52.493Z] Top recommended movies for user id 72:
[2025-10-17T15:11:52.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:11:52.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:11:52.493Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:11:52.493Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:11:52.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:11:52.493Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21245.519 ms) ======
[2025-10-17T15:11:52.493Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-17T15:11:52.493Z] GC before operation: completed in 177.079 ms, heap usage 306.291 MB -> 89.507 MB.
[2025-10-17T15:11:56.658Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:11:59.658Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:12:02.306Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:12:05.307Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:12:07.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:12:09.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:12:11.144Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:12:13.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:12:13.090Z] 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.
[2025-10-17T15:12:13.090Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:12:13.090Z] Top recommended movies for user id 72:
[2025-10-17T15:12:13.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:12:13.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:12:13.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:12:13.090Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:12:13.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:12:13.090Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20303.798 ms) ======
[2025-10-17T15:12:13.090Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-17T15:12:13.090Z] GC before operation: completed in 180.380 ms, heap usage 107.476 MB -> 89.476 MB.
[2025-10-17T15:12:17.233Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:12:19.175Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:12:22.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:12:25.182Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:12:27.130Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:12:29.084Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:12:31.033Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:12:32.992Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:12:34.113Z] 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.
[2025-10-17T15:12:34.113Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:12:34.113Z] Top recommended movies for user id 72:
[2025-10-17T15:12:34.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:12:34.113Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:12:34.113Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:12:34.113Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:12:34.113Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:12:34.113Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20460.526 ms) ======
[2025-10-17T15:12:34.113Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-17T15:12:34.113Z] GC before operation: completed in 200.476 ms, heap usage 379.062 MB -> 89.838 MB.
[2025-10-17T15:12:37.217Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:12:41.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:12:43.299Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:12:46.297Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:12:48.238Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:12:49.187Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:12:51.124Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:12:53.075Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:12:53.075Z] 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.
[2025-10-17T15:12:53.075Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:12:53.075Z] Top recommended movies for user id 72:
[2025-10-17T15:12:53.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:12:53.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:12:53.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:12:53.075Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:12:53.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:12:53.075Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19119.785 ms) ======
[2025-10-17T15:12:53.075Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-17T15:12:53.075Z] GC before operation: completed in 180.680 ms, heap usage 101.364 MB -> 89.862 MB.
[2025-10-17T15:12:56.747Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:12:58.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:13:01.163Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:13:04.173Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:13:06.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:13:07.078Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:13:09.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:13:11.045Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:13:11.045Z] 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.
[2025-10-17T15:13:11.045Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:13:11.045Z] Top recommended movies for user id 72:
[2025-10-17T15:13:11.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:13:11.045Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:13:11.045Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:13:11.045Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:13:11.045Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:13:11.045Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17892.694 ms) ======
[2025-10-17T15:13:11.045Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-17T15:13:11.045Z] GC before operation: completed in 187.126 ms, heap usage 474.705 MB -> 90.099 MB.
[2025-10-17T15:13:15.847Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:13:16.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:13:19.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:13:22.177Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:13:24.161Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:13:26.118Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:13:27.111Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:13:29.056Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:13:29.056Z] 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.
[2025-10-17T15:13:29.056Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:13:29.056Z] Top recommended movies for user id 72:
[2025-10-17T15:13:29.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:13:29.056Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:13:29.056Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:13:29.056Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:13:29.056Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:13:29.056Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17965.298 ms) ======
[2025-10-17T15:13:29.056Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-17T15:13:30.004Z] GC before operation: completed in 163.577 ms, heap usage 377.532 MB -> 89.896 MB.
[2025-10-17T15:13:31.947Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:13:34.947Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:13:37.944Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:13:39.889Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:13:41.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:13:43.768Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:13:44.714Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:13:46.655Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:13:46.655Z] 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.
[2025-10-17T15:13:46.655Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:13:46.655Z] Top recommended movies for user id 72:
[2025-10-17T15:13:46.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:13:46.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:13:46.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:13:46.655Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:13:46.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:13:46.656Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17376.557 ms) ======
[2025-10-17T15:13:46.656Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-17T15:13:47.602Z] GC before operation: completed in 168.733 ms, heap usage 200.196 MB -> 89.791 MB.
[2025-10-17T15:13:49.540Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:13:51.480Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:13:54.121Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:13:57.122Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:13:59.061Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:14:00.007Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:14:01.949Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:14:03.895Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:14:03.895Z] 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.
[2025-10-17T15:14:03.895Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:14:03.895Z] Top recommended movies for user id 72:
[2025-10-17T15:14:03.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:14:03.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:14:03.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:14:03.895Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:14:03.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:14:03.895Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16891.563 ms) ======
[2025-10-17T15:14:03.895Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-17T15:14:03.895Z] GC before operation: completed in 168.696 ms, heap usage 198.550 MB -> 89.609 MB.
[2025-10-17T15:14:06.896Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:14:09.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:14:12.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:14:15.913Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:14:17.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:14:18.803Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:14:20.750Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:14:21.702Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:14:21.702Z] 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.
[2025-10-17T15:14:21.702Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:14:22.652Z] Top recommended movies for user id 72:
[2025-10-17T15:14:22.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:14:22.652Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:14:22.652Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:14:22.652Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:14:22.652Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:14:22.652Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18094.519 ms) ======
[2025-10-17T15:14:22.652Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-17T15:14:22.652Z] GC before operation: completed in 170.868 ms, heap usage 231.009 MB -> 89.826 MB.
[2025-10-17T15:14:24.595Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:14:27.595Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:14:29.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:14:32.546Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:14:34.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:14:36.436Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:14:38.383Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:14:40.330Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:14:40.330Z] 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.
[2025-10-17T15:14:40.330Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:14:40.330Z] Top recommended movies for user id 72:
[2025-10-17T15:14:40.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:14:40.330Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:14:40.330Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:14:40.330Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:14:40.330Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:14:40.330Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17883.605 ms) ======
[2025-10-17T15:14:40.330Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-17T15:14:40.330Z] GC before operation: completed in 243.049 ms, heap usage 440.931 MB -> 90.277 MB.
[2025-10-17T15:14:45.145Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:14:47.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:14:50.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:14:53.108Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:14:54.062Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:14:56.043Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:14:56.992Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:14:58.937Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:14:58.937Z] 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.
[2025-10-17T15:14:58.937Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:14:58.937Z] Top recommended movies for user id 72:
[2025-10-17T15:14:58.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:14:58.937Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:14:58.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:14:58.937Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:14:58.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:14:58.937Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18627.052 ms) ======
[2025-10-17T15:14:58.937Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-17T15:14:58.937Z] GC before operation: completed in 169.635 ms, heap usage 517.192 MB -> 90.140 MB.
[2025-10-17T15:15:01.939Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:15:04.940Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:15:06.880Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:15:08.824Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:15:10.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:15:11.718Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:15:13.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:15:14.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:15:14.607Z] 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.
[2025-10-17T15:15:14.607Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:15:15.552Z] Top recommended movies for user id 72:
[2025-10-17T15:15:15.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:15:15.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:15:15.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:15:15.552Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:15:15.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:15:15.552Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15821.573 ms) ======
[2025-10-17T15:15:15.552Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-17T15:15:15.552Z] GC before operation: completed in 169.290 ms, heap usage 148.478 MB -> 89.929 MB.
[2025-10-17T15:15:18.555Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:15:21.557Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:15:24.562Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:15:26.545Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:15:28.483Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:15:29.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:15:31.371Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:15:33.320Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:15:33.320Z] 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.
[2025-10-17T15:15:33.320Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:15:33.320Z] Top recommended movies for user id 72:
[2025-10-17T15:15:33.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:15:33.320Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:15:33.320Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:15:33.320Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:15:33.320Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:15:33.320Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18356.768 ms) ======
[2025-10-17T15:15:33.320Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-17T15:15:34.263Z] GC before operation: completed in 203.805 ms, heap usage 131.010 MB -> 90.778 MB.
[2025-10-17T15:15:37.997Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:15:42.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:15:46.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:15:50.458Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:15:52.413Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:15:55.435Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:15:57.489Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:16:00.503Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:16:00.503Z] 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.
[2025-10-17T15:16:00.503Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:16:00.503Z] Top recommended movies for user id 72:
[2025-10-17T15:16:00.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:16:00.503Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:16:00.503Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:16:00.503Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:16:00.503Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:16:00.503Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (26929.955 ms) ======
[2025-10-17T15:16:00.503Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-17T15:16:01.456Z] GC before operation: completed in 287.671 ms, heap usage 312.115 MB -> 90.064 MB.
[2025-10-17T15:16:05.614Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:16:09.789Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:16:15.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:16:18.172Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:16:21.187Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:16:23.142Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:16:25.100Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:16:28.122Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:16:28.122Z] 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.
[2025-10-17T15:16:28.122Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:16:28.122Z] Top recommended movies for user id 72:
[2025-10-17T15:16:28.122Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:16:28.122Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:16:28.122Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:16:28.122Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:16:28.122Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:16:28.122Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (27017.935 ms) ======
[2025-10-17T15:16:28.122Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-17T15:16:28.122Z] GC before operation: completed in 228.217 ms, heap usage 258.800 MB -> 89.811 MB.
[2025-10-17T15:16:33.001Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:16:37.188Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:16:41.338Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:16:45.480Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:16:47.444Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:16:49.387Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:16:52.397Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:16:54.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:16:54.353Z] 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.
[2025-10-17T15:16:54.353Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:16:54.353Z] Top recommended movies for user id 72:
[2025-10-17T15:16:54.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:16:54.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:16:54.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:16:54.353Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:16:54.354Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:16:54.354Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (26296.505 ms) ======
[2025-10-17T15:16:54.354Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-17T15:16:55.304Z] GC before operation: completed in 222.007 ms, heap usage 235.476 MB -> 89.879 MB.
[2025-10-17T15:16:58.308Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-17T15:17:02.464Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-17T15:17:06.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-17T15:17:10.760Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-17T15:17:12.713Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-17T15:17:14.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-17T15:17:16.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-17T15:17:18.560Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-17T15:17:19.512Z] 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.
[2025-10-17T15:17:19.512Z] The best model improves the baseline by 14.52%.
[2025-10-17T15:17:19.512Z] Top recommended movies for user id 72:
[2025-10-17T15:17:19.512Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-17T15:17:19.512Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-17T15:17:19.512Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-17T15:17:19.512Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-17T15:17:19.512Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-17T15:17:19.512Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (24798.994 ms) ======
[2025-10-17T15:17:21.463Z] -----------------------------------
[2025-10-17T15:17:21.463Z] renaissance-movie-lens_0_PASSED
[2025-10-17T15:17:21.463Z] -----------------------------------
[2025-10-17T15:17:21.463Z]
[2025-10-17T15:17:21.463Z] TEST TEARDOWN:
[2025-10-17T15:17:21.463Z] Nothing to be done for teardown.
[2025-10-17T15:17:21.463Z] renaissance-movie-lens_0 Finish Time: Fri Oct 17 15:17:20 2025 Epoch Time (ms): 1760714240473