renaissance-movie-lens_0
[2026-01-24T14:02:34.276Z] Running test renaissance-movie-lens_0 ...
[2026-01-24T14:02:34.276Z] ===============================================
[2026-01-24T14:02:34.276Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 14:02:33 2026 Epoch Time (ms): 1769263353873
[2026-01-24T14:02:34.276Z] variation: NoOptions
[2026-01-24T14:02:34.276Z] JVM_OPTIONS:
[2026-01-24T14:02:34.276Z] { \
[2026-01-24T14:02:34.276Z] echo ""; echo "TEST SETUP:"; \
[2026-01-24T14:02:34.276Z] echo "Nothing to be done for setup."; \
[2026-01-24T14:02:34.276Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17692621919053/renaissance-movie-lens_0"; \
[2026-01-24T14:02:34.276Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17692621919053/renaissance-movie-lens_0"; \
[2026-01-24T14:02:34.276Z] echo ""; echo "TESTING:"; \
[2026-01-24T14:02:34.276Z] "/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_17692621919053/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-24T14:02:34.276Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17692621919053/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-24T14:02:34.276Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-24T14:02:34.276Z] echo "Nothing to be done for teardown."; \
[2026-01-24T14:02:34.276Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17692621919053/TestTargetResult";
[2026-01-24T14:02:34.276Z]
[2026-01-24T14:02:34.276Z] TEST SETUP:
[2026-01-24T14:02:34.276Z] Nothing to be done for setup.
[2026-01-24T14:02:34.276Z]
[2026-01-24T14:02:34.276Z] TESTING:
[2026-01-24T14:02:35.057Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-24T14:02:35.057Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17692621919053/renaissance-movie-lens_0/launcher-140234-3348635673105290518/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-24T14:02:35.057Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-24T14:02:35.057Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-24T14:02:48.940Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-24T14:03:05.257Z] 14:03:02.959 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-24T14:03:06.943Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-24T14:03:08.540Z] Training: 60056, validation: 20285, test: 19854
[2026-01-24T14:03:08.540Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-24T14:03:08.540Z] GC before operation: completed in 326.102 ms, heap usage 261.737 MB -> 75.606 MB.
[2026-01-24T14:03:28.037Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:03:36.315Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:03:44.853Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:03:50.446Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:03:54.886Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:04:00.469Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:04:05.023Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:04:08.430Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:04:08.431Z] 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.
[2026-01-24T14:04:08.431Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:04:09.193Z] Top recommended movies for user id 72:
[2026-01-24T14:04:09.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:04:09.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:04:09.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:04:09.193Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:04:09.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:04:09.193Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (60439.914 ms) ======
[2026-01-24T14:04:09.193Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-24T14:04:09.193Z] GC before operation: completed in 216.397 ms, heap usage 286.809 MB -> 95.257 MB.
[2026-01-24T14:04:17.591Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:04:23.241Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:04:28.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:04:33.321Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:04:36.759Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:04:40.192Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:04:43.650Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:04:46.113Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:04:46.113Z] 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.
[2026-01-24T14:04:46.113Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:04:46.882Z] Top recommended movies for user id 72:
[2026-01-24T14:04:46.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:04:46.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:04:46.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:04:46.882Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:04:46.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:04:46.882Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (37261.961 ms) ======
[2026-01-24T14:04:46.882Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-24T14:04:46.882Z] GC before operation: completed in 188.095 ms, heap usage 454.184 MB -> 88.602 MB.
[2026-01-24T14:04:51.923Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:04:57.575Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:05:03.283Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:05:08.949Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:05:12.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:05:15.800Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:05:20.260Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:05:23.680Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:05:24.449Z] 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.
[2026-01-24T14:05:24.449Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:05:24.449Z] Top recommended movies for user id 72:
[2026-01-24T14:05:24.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:05:24.449Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:05:24.449Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:05:24.449Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:05:24.449Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:05:24.449Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (38035.593 ms) ======
[2026-01-24T14:05:24.449Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-24T14:05:25.220Z] GC before operation: completed in 252.498 ms, heap usage 99.403 MB -> 88.694 MB.
[2026-01-24T14:05:32.088Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:05:38.962Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:05:43.597Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:05:49.178Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:05:52.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:05:55.980Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:05:59.379Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:06:01.922Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:06:01.922Z] 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.
[2026-01-24T14:06:02.694Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:06:02.694Z] Top recommended movies for user id 72:
[2026-01-24T14:06:02.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:06:02.694Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:06:02.694Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:06:02.694Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:06:02.694Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:06:02.694Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (37522.066 ms) ======
[2026-01-24T14:06:02.694Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-24T14:06:02.694Z] GC before operation: completed in 281.632 ms, heap usage 367.855 MB -> 89.506 MB.
[2026-01-24T14:06:08.320Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:06:15.155Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:06:19.598Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:06:24.565Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:06:28.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:06:31.429Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:06:33.901Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:06:36.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:06:37.116Z] 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.
[2026-01-24T14:06:37.116Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:06:37.116Z] Top recommended movies for user id 72:
[2026-01-24T14:06:37.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:06:37.116Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:06:37.116Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:06:37.116Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:06:37.116Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:06:37.116Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (34341.201 ms) ======
[2026-01-24T14:06:37.116Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-24T14:06:37.116Z] GC before operation: completed in 272.231 ms, heap usage 625.193 MB -> 93.064 MB.
[2026-01-24T14:06:42.177Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:06:46.615Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:06:52.186Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:06:55.585Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:06:58.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:07:02.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:07:03.667Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:07:06.126Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:07:06.895Z] 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.
[2026-01-24T14:07:06.895Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:07:06.895Z] Top recommended movies for user id 72:
[2026-01-24T14:07:06.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:07:06.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:07:06.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:07:06.895Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:07:06.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:07:06.895Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (29573.284 ms) ======
[2026-01-24T14:07:06.895Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-24T14:07:07.658Z] GC before operation: completed in 210.508 ms, heap usage 446.133 MB -> 89.898 MB.
[2026-01-24T14:07:11.068Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:07:15.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:07:20.049Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:07:24.477Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:07:26.969Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:07:29.429Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:07:31.904Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:07:34.424Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:07:35.184Z] 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.
[2026-01-24T14:07:35.184Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:07:35.184Z] Top recommended movies for user id 72:
[2026-01-24T14:07:35.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:07:35.184Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:07:35.184Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:07:35.184Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:07:35.184Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:07:35.184Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (28301.064 ms) ======
[2026-01-24T14:07:35.184Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-24T14:07:35.948Z] GC before operation: completed in 185.034 ms, heap usage 295.358 MB -> 89.680 MB.
[2026-01-24T14:07:40.392Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:07:44.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:07:49.812Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:07:53.212Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:07:56.611Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:07:59.098Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:08:01.555Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:08:04.954Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:08:04.954Z] 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.
[2026-01-24T14:08:04.954Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:08:04.954Z] Top recommended movies for user id 72:
[2026-01-24T14:08:04.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:08:04.954Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:08:04.954Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:08:04.954Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:08:04.954Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:08:04.954Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (29332.495 ms) ======
[2026-01-24T14:08:04.954Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-24T14:08:04.954Z] GC before operation: completed in 217.487 ms, heap usage 381.427 MB -> 90.008 MB.
[2026-01-24T14:08:10.507Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:08:15.187Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:08:19.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:08:23.118Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:08:26.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:08:28.503Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:08:31.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:08:34.382Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:08:34.382Z] 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.
[2026-01-24T14:08:34.382Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:08:35.140Z] Top recommended movies for user id 72:
[2026-01-24T14:08:35.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:08:35.140Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:08:35.140Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:08:35.140Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:08:35.140Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:08:35.140Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (29549.949 ms) ======
[2026-01-24T14:08:35.140Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-24T14:08:35.140Z] GC before operation: completed in 202.009 ms, heap usage 426.770 MB -> 89.871 MB.
[2026-01-24T14:08:39.615Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:08:44.045Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:08:49.728Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:08:54.163Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:08:56.611Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:08:59.102Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:09:03.528Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:09:06.328Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:09:06.328Z] 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.
[2026-01-24T14:09:06.328Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:09:07.101Z] Top recommended movies for user id 72:
[2026-01-24T14:09:07.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:09:07.101Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:09:07.101Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:09:07.101Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:09:07.101Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:09:07.101Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (31729.305 ms) ======
[2026-01-24T14:09:07.101Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-24T14:09:07.101Z] GC before operation: completed in 281.245 ms, heap usage 239.568 MB -> 89.885 MB.
[2026-01-24T14:09:11.549Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:09:15.967Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:09:20.453Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:09:24.880Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:09:27.334Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:09:29.780Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:09:33.179Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:09:35.619Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:09:35.619Z] 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.
[2026-01-24T14:09:36.382Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:09:36.382Z] Top recommended movies for user id 72:
[2026-01-24T14:09:36.383Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:09:36.383Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:09:36.383Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:09:36.383Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:09:36.383Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:09:36.383Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (29181.562 ms) ======
[2026-01-24T14:09:36.383Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-24T14:09:36.383Z] GC before operation: completed in 250.765 ms, heap usage 360.837 MB -> 89.812 MB.
[2026-01-24T14:09:40.817Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:09:45.258Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:09:50.979Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:09:55.398Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:09:57.856Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:10:00.342Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:10:03.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:10:06.281Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:10:07.050Z] 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.
[2026-01-24T14:10:07.050Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:10:07.050Z] Top recommended movies for user id 72:
[2026-01-24T14:10:07.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:10:07.050Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:10:07.050Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:10:07.050Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:10:07.050Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:10:07.050Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (30658.794 ms) ======
[2026-01-24T14:10:07.050Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-24T14:10:07.814Z] GC before operation: completed in 279.243 ms, heap usage 512.291 MB -> 90.216 MB.
[2026-01-24T14:10:12.298Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:10:17.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:10:22.304Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:10:29.126Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:10:31.774Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:10:33.997Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:10:37.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:10:39.857Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:10:40.623Z] 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.
[2026-01-24T14:10:40.623Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:10:40.623Z] Top recommended movies for user id 72:
[2026-01-24T14:10:40.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:10:40.623Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:10:40.623Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:10:40.623Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:10:40.623Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:10:40.623Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (33464.830 ms) ======
[2026-01-24T14:10:40.623Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-24T14:10:41.389Z] GC before operation: completed in 221.547 ms, heap usage 409.842 MB -> 90.129 MB.
[2026-01-24T14:10:45.829Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:10:54.104Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:10:58.560Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:11:03.018Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:11:06.419Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:11:08.901Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:11:11.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:11:14.193Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:11:14.193Z] 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.
[2026-01-24T14:11:14.193Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:11:14.984Z] Top recommended movies for user id 72:
[2026-01-24T14:11:14.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:11:14.984Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:11:14.984Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:11:14.984Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:11:14.984Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:11:14.984Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (33541.330 ms) ======
[2026-01-24T14:11:14.984Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-24T14:11:14.984Z] GC before operation: completed in 281.280 ms, heap usage 527.503 MB -> 90.218 MB.
[2026-01-24T14:11:19.620Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:11:24.218Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:11:28.782Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:11:32.339Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:11:34.867Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:11:38.396Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:11:41.939Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:11:44.464Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:11:44.464Z] 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.
[2026-01-24T14:11:44.464Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:11:45.244Z] Top recommended movies for user id 72:
[2026-01-24T14:11:45.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:11:45.244Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:11:45.244Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:11:45.244Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:11:45.244Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:11:45.244Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (30121.111 ms) ======
[2026-01-24T14:11:45.244Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-24T14:11:45.244Z] GC before operation: completed in 258.802 ms, heap usage 292.398 MB -> 90.191 MB.
[2026-01-24T14:11:49.874Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:11:54.424Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:11:59.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:12:04.253Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:12:06.797Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:12:09.335Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:12:12.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:12:15.442Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:12:15.442Z] 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.
[2026-01-24T14:12:16.224Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:12:16.224Z] Top recommended movies for user id 72:
[2026-01-24T14:12:16.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:12:16.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:12:16.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:12:16.224Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:12:16.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:12:16.224Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (30792.192 ms) ======
[2026-01-24T14:12:16.224Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-24T14:12:16.224Z] GC before operation: completed in 304.311 ms, heap usage 440.662 MB -> 90.099 MB.
[2026-01-24T14:12:21.929Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:12:25.412Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:12:29.990Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:12:35.691Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:12:39.165Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:12:41.694Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:12:44.198Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:12:47.289Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:12:47.289Z] 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.
[2026-01-24T14:12:47.289Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:12:48.075Z] Top recommended movies for user id 72:
[2026-01-24T14:12:48.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:12:48.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:12:48.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:12:48.075Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:12:48.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:12:48.075Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (31456.449 ms) ======
[2026-01-24T14:12:48.075Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-24T14:12:48.075Z] GC before operation: completed in 234.943 ms, heap usage 120.277 MB -> 89.783 MB.
[2026-01-24T14:12:52.590Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:12:57.134Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:13:01.677Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:13:06.239Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:13:08.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:13:12.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:13:14.792Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:13:17.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:13:17.451Z] 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.
[2026-01-24T14:13:17.451Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:13:18.232Z] Top recommended movies for user id 72:
[2026-01-24T14:13:18.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:13:18.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:13:18.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:13:18.232Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:13:18.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:13:18.232Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (29920.465 ms) ======
[2026-01-24T14:13:18.232Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-24T14:13:18.232Z] GC before operation: completed in 227.459 ms, heap usage 382.647 MB -> 89.989 MB.
[2026-01-24T14:13:25.222Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:13:29.384Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:13:33.926Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:13:43.976Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:13:45.607Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:13:49.075Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:13:52.568Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:13:55.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:13:55.895Z] 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.
[2026-01-24T14:13:55.895Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:13:55.895Z] Top recommended movies for user id 72:
[2026-01-24T14:13:55.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:13:55.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:13:55.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:13:55.895Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:13:55.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:13:55.895Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (37588.220 ms) ======
[2026-01-24T14:13:55.895Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-24T14:13:55.895Z] GC before operation: completed in 230.533 ms, heap usage 130.103 MB -> 89.696 MB.
[2026-01-24T14:14:00.466Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T14:14:05.539Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T14:14:11.973Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T14:14:16.531Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T14:14:20.016Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T14:14:22.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T14:14:25.102Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T14:14:28.629Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T14:14:28.629Z] 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.
[2026-01-24T14:14:28.629Z] The best model improves the baseline by 14.52%.
[2026-01-24T14:14:28.629Z] Top recommended movies for user id 72:
[2026-01-24T14:14:28.629Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T14:14:28.629Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T14:14:28.629Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T14:14:28.629Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T14:14:28.629Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T14:14:28.629Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (32763.925 ms) ======
[2026-01-24T14:14:29.421Z] -----------------------------------
[2026-01-24T14:14:29.421Z] renaissance-movie-lens_0_PASSED
[2026-01-24T14:14:29.421Z] -----------------------------------
[2026-01-24T14:14:29.421Z]
[2026-01-24T14:14:29.421Z] TEST TEARDOWN:
[2026-01-24T14:14:29.421Z] Nothing to be done for teardown.
[2026-01-24T14:14:29.421Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 14:14:29 2026 Epoch Time (ms): 1769264069300