renaissance-movie-lens_0
[2026-02-14T23:42:52.585Z] Running test renaissance-movie-lens_0 ...
[2026-02-14T23:42:52.585Z] ===============================================
[2026-02-14T23:42:52.585Z] renaissance-movie-lens_0 Start Time: Sat Feb 14 23:42:52 2026 Epoch Time (ms): 1771112572174
[2026-02-14T23:42:52.585Z] variation: NoOptions
[2026-02-14T23:42:52.585Z] JVM_OPTIONS:
[2026-02-14T23:42:52.585Z] { \
[2026-02-14T23:42:52.585Z] echo ""; echo "TEST SETUP:"; \
[2026-02-14T23:42:52.585Z] echo "Nothing to be done for setup."; \
[2026-02-14T23:42:52.585Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_1771110638985/renaissance-movie-lens_0"; \
[2026-02-14T23:42:52.585Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_1771110638985/renaissance-movie-lens_0"; \
[2026-02-14T23:42:52.585Z] echo ""; echo "TESTING:"; \
[2026-02-14T23:42:52.585Z] "/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_1771110638985/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-14T23:42:52.585Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_1771110638985/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-14T23:42:52.585Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-14T23:42:52.585Z] echo "Nothing to be done for teardown."; \
[2026-02-14T23:42:52.585Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_1771110638985/TestTargetResult";
[2026-02-14T23:42:52.585Z]
[2026-02-14T23:42:52.585Z] TEST SETUP:
[2026-02-14T23:42:52.585Z] Nothing to be done for setup.
[2026-02-14T23:42:52.585Z]
[2026-02-14T23:42:52.585Z] TESTING:
[2026-02-14T23:42:53.330Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-14T23:42:53.330Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_1771110638985/renaissance-movie-lens_0/launcher-234252-2251417294283905867/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-14T23:42:53.330Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-14T23:42:53.330Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-14T23:43:06.816Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-14T23:43:25.500Z] 23:43:23.757 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-14T23:43:29.899Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-14T23:43:30.654Z] Training: 60056, validation: 20285, test: 19854
[2026-02-14T23:43:30.654Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-14T23:43:31.418Z] GC before operation: completed in 419.818 ms, heap usage 380.312 MB -> 75.807 MB.
[2026-02-14T23:43:53.310Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:44:04.853Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:44:16.930Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:44:26.683Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:44:32.216Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:44:37.746Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:44:43.226Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:44:48.765Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:44:49.540Z] 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.
[2026-02-14T23:44:50.319Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:44:51.085Z] Top recommended movies for user id 72:
[2026-02-14T23:44:51.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:44:51.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:44:51.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:44:51.085Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:44:51.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:44:51.085Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (79694.756 ms) ======
[2026-02-14T23:44:51.085Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-14T23:44:51.085Z] GC before operation: completed in 393.634 ms, heap usage 310.010 MB -> 86.487 MB.
[2026-02-14T23:45:00.779Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:45:10.972Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:45:17.743Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:45:25.997Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:45:30.375Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:45:34.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:45:40.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:45:44.730Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:45:45.509Z] 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.
[2026-02-14T23:45:45.509Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:45:45.509Z] Top recommended movies for user id 72:
[2026-02-14T23:45:45.509Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:45:45.509Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:45:45.509Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:45:45.509Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:45:45.509Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:45:45.509Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (54244.764 ms) ======
[2026-02-14T23:45:45.509Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-14T23:45:46.258Z] GC before operation: completed in 338.427 ms, heap usage 213.954 MB -> 88.449 MB.
[2026-02-14T23:45:54.465Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:46:01.867Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:46:11.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:46:18.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:46:24.096Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:46:28.486Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:46:34.007Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:46:39.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:46:39.523Z] 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.
[2026-02-14T23:46:39.523Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:46:40.281Z] Top recommended movies for user id 72:
[2026-02-14T23:46:40.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:46:40.281Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:46:40.281Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:46:40.281Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:46:40.281Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:46:40.281Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (54400.688 ms) ======
[2026-02-14T23:46:40.281Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-14T23:46:41.024Z] GC before operation: completed in 327.152 ms, heap usage 274.205 MB -> 89.242 MB.
[2026-02-14T23:46:48.212Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:46:54.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:47:03.054Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:47:09.825Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:47:14.284Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:47:19.808Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:47:25.340Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:47:29.682Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:47:29.682Z] 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.
[2026-02-14T23:47:29.682Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:47:30.432Z] Top recommended movies for user id 72:
[2026-02-14T23:47:30.432Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:47:30.432Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:47:30.432Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:47:30.432Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:47:30.432Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:47:30.432Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (49601.044 ms) ======
[2026-02-14T23:47:30.432Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-14T23:47:30.432Z] GC before operation: completed in 357.505 ms, heap usage 279.836 MB -> 89.590 MB.
[2026-02-14T23:47:37.700Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:47:45.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:47:52.681Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:47:59.543Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:48:02.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:48:07.388Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:48:11.803Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:48:16.189Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:48:16.940Z] 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.
[2026-02-14T23:48:16.940Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:48:17.686Z] Top recommended movies for user id 72:
[2026-02-14T23:48:17.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:48:17.686Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:48:17.686Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:48:17.686Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:48:17.686Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:48:17.686Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (46692.928 ms) ======
[2026-02-14T23:48:17.686Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-14T23:48:17.687Z] GC before operation: completed in 418.988 ms, heap usage 196.525 MB -> 89.433 MB.
[2026-02-14T23:48:24.908Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:48:32.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:48:37.726Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:48:43.258Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:48:47.672Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:48:52.075Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:48:56.533Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:49:00.954Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:49:00.954Z] 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.
[2026-02-14T23:49:00.955Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:49:01.710Z] Top recommended movies for user id 72:
[2026-02-14T23:49:01.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:49:01.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:49:01.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:49:01.711Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:49:01.711Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:49:01.711Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (43682.456 ms) ======
[2026-02-14T23:49:01.711Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-14T23:49:01.711Z] GC before operation: completed in 370.629 ms, heap usage 617.021 MB -> 93.572 MB.
[2026-02-14T23:49:08.517Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:49:15.784Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:49:21.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:49:26.983Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:49:31.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:49:34.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:49:39.169Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:49:42.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:49:42.640Z] 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.
[2026-02-14T23:49:42.640Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:49:43.404Z] Top recommended movies for user id 72:
[2026-02-14T23:49:43.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:49:43.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:49:43.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:49:43.404Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:49:43.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:49:43.404Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (41626.991 ms) ======
[2026-02-14T23:49:43.404Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-14T23:49:44.159Z] GC before operation: completed in 358.647 ms, heap usage 369.569 MB -> 89.947 MB.
[2026-02-14T23:49:49.761Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:49:55.269Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:50:01.295Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:50:06.786Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:50:11.150Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:50:14.522Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:50:17.862Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:50:21.294Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:50:21.294Z] 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.
[2026-02-14T23:50:21.294Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:50:22.049Z] Top recommended movies for user id 72:
[2026-02-14T23:50:22.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:50:22.049Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:50:22.049Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:50:22.049Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:50:22.049Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:50:22.049Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (38070.979 ms) ======
[2026-02-14T23:50:22.049Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-14T23:50:22.049Z] GC before operation: completed in 317.341 ms, heap usage 298.931 MB -> 90.043 MB.
[2026-02-14T23:50:28.810Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:50:35.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:50:42.319Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:50:48.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:50:52.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:50:57.147Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:51:00.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:51:04.874Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:51:04.874Z] 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.
[2026-02-14T23:51:05.621Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:51:06.371Z] Top recommended movies for user id 72:
[2026-02-14T23:51:06.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:51:06.371Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:51:06.371Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:51:06.371Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:51:06.371Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:51:06.371Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (43794.248 ms) ======
[2026-02-14T23:51:06.371Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-14T23:51:06.371Z] GC before operation: completed in 364.340 ms, heap usage 375.377 MB -> 89.970 MB.
[2026-02-14T23:51:13.172Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:51:21.402Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:51:29.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:51:35.478Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:51:39.850Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:51:43.234Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:51:47.599Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:51:50.966Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:51:51.728Z] 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.
[2026-02-14T23:51:51.728Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:51:51.728Z] Top recommended movies for user id 72:
[2026-02-14T23:51:51.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:51:51.728Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:51:51.728Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:51:51.728Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:51:51.728Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:51:51.728Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (45450.580 ms) ======
[2026-02-14T23:51:51.728Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-14T23:51:52.485Z] GC before operation: completed in 337.178 ms, heap usage 159.513 MB -> 89.895 MB.
[2026-02-14T23:51:57.941Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:52:04.659Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:52:11.373Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:52:16.886Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:52:20.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:52:25.060Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:52:28.451Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:52:32.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:52:32.864Z] 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.
[2026-02-14T23:52:33.638Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:52:33.638Z] Top recommended movies for user id 72:
[2026-02-14T23:52:33.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:52:33.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:52:33.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:52:33.638Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:52:33.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:52:33.638Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (41471.005 ms) ======
[2026-02-14T23:52:33.638Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-14T23:52:34.407Z] GC before operation: completed in 415.605 ms, heap usage 256.759 MB -> 89.665 MB.
[2026-02-14T23:52:41.137Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:52:47.837Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:52:54.590Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:53:00.086Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:53:04.454Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:53:07.780Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:53:11.278Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:53:14.641Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:53:15.398Z] 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.
[2026-02-14T23:53:15.398Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:53:15.398Z] Top recommended movies for user id 72:
[2026-02-14T23:53:15.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:53:15.398Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:53:15.398Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:53:15.399Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:53:15.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:53:15.399Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (41405.351 ms) ======
[2026-02-14T23:53:15.399Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-14T23:53:15.399Z] GC before operation: completed in 312.861 ms, heap usage 507.869 MB -> 90.561 MB.
[2026-02-14T23:53:22.143Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:53:27.666Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:53:34.431Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:53:39.980Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:53:44.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:53:48.828Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:53:52.170Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:54:00.241Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:54:02.639Z] 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.
[2026-02-14T23:54:02.639Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:54:03.386Z] Top recommended movies for user id 72:
[2026-02-14T23:54:03.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:54:03.386Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:54:03.386Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:54:03.386Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:54:03.386Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:54:03.386Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (47515.492 ms) ======
[2026-02-14T23:54:03.386Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-14T23:54:03.387Z] GC before operation: completed in 371.485 ms, heap usage 264.782 MB -> 90.102 MB.
[2026-02-14T23:54:14.913Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:54:24.021Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:54:30.749Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:54:38.901Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:54:42.284Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:54:46.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:54:49.605Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:54:53.947Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:54:54.704Z] 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.
[2026-02-14T23:54:55.464Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:54:55.464Z] Top recommended movies for user id 72:
[2026-02-14T23:54:55.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:54:55.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:54:55.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:54:55.464Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:54:55.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:54:55.464Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (51792.655 ms) ======
[2026-02-14T23:54:55.464Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-14T23:54:55.464Z] GC before operation: completed in 295.374 ms, heap usage 226.050 MB -> 89.848 MB.
[2026-02-14T23:55:00.946Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:55:10.669Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:55:21.112Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:55:29.225Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:55:32.564Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:55:37.729Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:55:41.553Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:55:44.906Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:55:45.679Z] 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.
[2026-02-14T23:55:45.679Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:55:45.679Z] Top recommended movies for user id 72:
[2026-02-14T23:55:45.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:55:45.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:55:45.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:55:45.679Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:55:45.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:55:45.679Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (50123.100 ms) ======
[2026-02-14T23:55:45.679Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-14T23:55:46.431Z] GC before operation: completed in 399.521 ms, heap usage 812.049 MB -> 94.257 MB.
[2026-02-14T23:55:53.243Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:56:00.104Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:56:06.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:56:13.635Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:56:16.984Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:56:20.326Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:56:24.662Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:56:28.303Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:56:28.303Z] 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.
[2026-02-14T23:56:29.056Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:56:29.056Z] Top recommended movies for user id 72:
[2026-02-14T23:56:29.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:56:29.056Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:56:29.056Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:56:29.056Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:56:29.056Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:56:29.056Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (42719.033 ms) ======
[2026-02-14T23:56:29.056Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-14T23:56:29.056Z] GC before operation: completed in 342.484 ms, heap usage 259.834 MB -> 90.082 MB.
[2026-02-14T23:56:37.241Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:56:42.740Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:56:50.854Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:56:56.369Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:57:00.734Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:57:04.104Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:57:07.466Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:57:11.880Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:57:11.880Z] 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.
[2026-02-14T23:57:11.880Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:57:12.632Z] Top recommended movies for user id 72:
[2026-02-14T23:57:12.632Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:57:12.632Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:57:12.632Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:57:12.632Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:57:12.632Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:57:12.632Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (43136.737 ms) ======
[2026-02-14T23:57:12.632Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-14T23:57:12.632Z] GC before operation: completed in 361.731 ms, heap usage 197.535 MB -> 90.116 MB.
[2026-02-14T23:57:19.842Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:57:26.609Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:57:33.317Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:57:38.798Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:57:42.146Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:57:45.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:57:49.835Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:57:53.161Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:57:53.910Z] 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.
[2026-02-14T23:57:53.910Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:57:54.653Z] Top recommended movies for user id 72:
[2026-02-14T23:57:54.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:57:54.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:57:54.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:57:54.653Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:57:54.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:57:54.653Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (41470.005 ms) ======
[2026-02-14T23:57:54.653Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-14T23:57:54.653Z] GC before operation: completed in 383.706 ms, heap usage 483.359 MB -> 90.194 MB.
[2026-02-14T23:58:00.117Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:58:07.333Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:58:14.088Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:58:19.629Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:58:24.023Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:58:27.411Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:58:31.825Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:58:36.229Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:58:36.977Z] 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.
[2026-02-14T23:58:36.977Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:58:37.734Z] Top recommended movies for user id 72:
[2026-02-14T23:58:37.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:58:37.734Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:58:37.734Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:58:37.734Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:58:37.734Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:58:37.734Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (42881.990 ms) ======
[2026-02-14T23:58:37.734Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-14T23:58:37.734Z] GC before operation: completed in 357.764 ms, heap usage 306.191 MB -> 90.131 MB.
[2026-02-14T23:58:45.892Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-14T23:58:51.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-14T23:59:00.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-14T23:59:05.539Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-14T23:59:09.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-14T23:59:14.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-14T23:59:18.632Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-14T23:59:22.008Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-14T23:59:22.769Z] 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.
[2026-02-14T23:59:22.769Z] The best model improves the baseline by 14.52%.
[2026-02-14T23:59:22.769Z] Top recommended movies for user id 72:
[2026-02-14T23:59:22.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-14T23:59:22.769Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-14T23:59:22.769Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-14T23:59:22.769Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-14T23:59:22.769Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-14T23:59:22.769Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (44942.076 ms) ======
[2026-02-14T23:59:23.529Z] -----------------------------------
[2026-02-14T23:59:23.529Z] renaissance-movie-lens_0_PASSED
[2026-02-14T23:59:23.529Z] -----------------------------------
[2026-02-14T23:59:23.529Z]
[2026-02-14T23:59:23.529Z] TEST TEARDOWN:
[2026-02-14T23:59:23.529Z] Nothing to be done for teardown.
[2026-02-14T23:59:23.529Z] renaissance-movie-lens_0 Finish Time: Sat Feb 14 23:59:23 2026 Epoch Time (ms): 1771113563255