renaissance-movie-lens_0
[2026-01-14T15:41:08.479Z] Running test renaissance-movie-lens_0 ...
[2026-01-14T15:41:08.479Z] ===============================================
[2026-01-14T15:41:08.479Z] renaissance-movie-lens_0 Start Time: Wed Jan 14 15:41:07 2026 Epoch Time (ms): 1768405267747
[2026-01-14T15:41:08.479Z] variation: NoOptions
[2026-01-14T15:41:08.479Z] JVM_OPTIONS:
[2026-01-14T15:41:08.479Z] { \
[2026-01-14T15:41:08.479Z] echo ""; echo "TEST SETUP:"; \
[2026-01-14T15:41:08.479Z] echo "Nothing to be done for setup."; \
[2026-01-14T15:41:08.479Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17684033291261/renaissance-movie-lens_0"; \
[2026-01-14T15:41:08.479Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17684033291261/renaissance-movie-lens_0"; \
[2026-01-14T15:41:08.479Z] echo ""; echo "TESTING:"; \
[2026-01-14T15:41:08.479Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17684033291261/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-14T15:41:08.479Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17684033291261/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-14T15:41:08.479Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-14T15:41:08.479Z] echo "Nothing to be done for teardown."; \
[2026-01-14T15:41:08.479Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17684033291261/TestTargetResult";
[2026-01-14T15:41:08.479Z]
[2026-01-14T15:41:08.479Z] TEST SETUP:
[2026-01-14T15:41:08.480Z] Nothing to be done for setup.
[2026-01-14T15:41:08.480Z]
[2026-01-14T15:41:08.480Z] TESTING:
[2026-01-14T15:41:09.439Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-14T15:41:09.439Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17684033291261/renaissance-movie-lens_0/launcher-154107-13337403619695564654/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-14T15:41:09.439Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-14T15:41:09.439Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-14T15:41:16.381Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-14T15:41:26.487Z] 15:41:25.994 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-14T15:41:29.540Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-14T15:41:29.540Z] Training: 60056, validation: 20285, test: 19854
[2026-01-14T15:41:29.540Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-14T15:41:29.540Z] GC before operation: completed in 152.386 ms, heap usage 203.491 MB -> 75.478 MB.
[2026-01-14T15:41:40.020Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:41:45.460Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:41:51.217Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:41:55.420Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:41:57.404Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:42:00.457Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:42:02.429Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:42:05.469Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:42:05.469Z] 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.
[2026-01-14T15:42:05.469Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:42:05.469Z] Top recommended movies for user id 72:
[2026-01-14T15:42:05.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:42:05.469Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:42:05.469Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:42:05.469Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:42:05.469Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:42:05.469Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35972.617 ms) ======
[2026-01-14T15:42:05.469Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-14T15:42:06.428Z] GC before operation: completed in 170.835 ms, heap usage 461.312 MB -> 93.102 MB.
[2026-01-14T15:42:10.607Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:42:13.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:42:16.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:42:20.876Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:42:22.853Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:42:24.817Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:42:27.358Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:42:29.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:42:29.522Z] 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.
[2026-01-14T15:42:29.522Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:42:29.522Z] Top recommended movies for user id 72:
[2026-01-14T15:42:29.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:42:29.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:42:29.522Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:42:29.522Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:42:29.522Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:42:29.522Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23810.181 ms) ======
[2026-01-14T15:42:29.522Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-14T15:42:30.481Z] GC before operation: completed in 181.502 ms, heap usage 92.365 MB -> 88.788 MB.
[2026-01-14T15:42:33.539Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:42:38.138Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:42:41.190Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:42:43.321Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:42:45.297Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:42:47.270Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:42:49.239Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:42:51.233Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:42:51.233Z] 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.
[2026-01-14T15:42:51.233Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:42:51.233Z] Top recommended movies for user id 72:
[2026-01-14T15:42:51.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:42:51.233Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:42:51.233Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:42:51.233Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:42:51.233Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:42:51.233Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21028.977 ms) ======
[2026-01-14T15:42:51.233Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-14T15:42:51.233Z] GC before operation: completed in 157.750 ms, heap usage 472.743 MB -> 89.383 MB.
[2026-01-14T15:42:54.526Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:42:58.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:43:01.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:43:05.974Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:43:07.946Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:43:11.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:43:13.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:43:15.404Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:43:15.404Z] 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.
[2026-01-14T15:43:15.404Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:43:17.069Z] Top recommended movies for user id 72:
[2026-01-14T15:43:17.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:43:17.069Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:43:17.069Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:43:17.069Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:43:17.069Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:43:17.069Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24757.519 ms) ======
[2026-01-14T15:43:17.069Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-14T15:43:17.069Z] GC before operation: completed in 195.714 ms, heap usage 452.114 MB -> 89.648 MB.
[2026-01-14T15:43:20.277Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:43:24.501Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:43:30.462Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:43:33.529Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:43:35.508Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:43:37.479Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:43:40.762Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:43:42.863Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:43:42.863Z] 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.
[2026-01-14T15:43:42.863Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:43:42.863Z] Top recommended movies for user id 72:
[2026-01-14T15:43:42.863Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:43:42.863Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:43:42.863Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:43:42.863Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:43:42.863Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:43:42.863Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26494.309 ms) ======
[2026-01-14T15:43:42.863Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-14T15:43:42.863Z] GC before operation: completed in 449.748 ms, heap usage 171.544 MB -> 89.281 MB.
[2026-01-14T15:43:45.906Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:43:49.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:43:52.052Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:43:57.113Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:43:59.092Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:44:01.080Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:44:03.060Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:44:05.036Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:44:06.199Z] 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.
[2026-01-14T15:44:06.200Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:44:06.200Z] Top recommended movies for user id 72:
[2026-01-14T15:44:06.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:44:06.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:44:06.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:44:06.200Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:44:06.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:44:06.200Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22749.446 ms) ======
[2026-01-14T15:44:06.200Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-14T15:44:06.200Z] GC before operation: completed in 184.116 ms, heap usage 358.262 MB -> 89.853 MB.
[2026-01-14T15:44:10.221Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:44:13.480Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:44:17.913Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:44:21.170Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:44:23.483Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:44:25.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:44:27.489Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:44:30.612Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:44:30.612Z] 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.
[2026-01-14T15:44:30.612Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:44:31.583Z] Top recommended movies for user id 72:
[2026-01-14T15:44:31.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:44:31.583Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:44:31.583Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:44:31.583Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:44:31.583Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:44:31.583Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (25180.903 ms) ======
[2026-01-14T15:44:31.583Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-14T15:44:31.583Z] GC before operation: completed in 248.019 ms, heap usage 128.346 MB -> 89.498 MB.
[2026-01-14T15:44:37.397Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:44:41.778Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:44:46.141Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:44:50.407Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:44:54.705Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:44:56.673Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:44:59.384Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:45:02.645Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:45:02.645Z] 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.
[2026-01-14T15:45:02.645Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:45:02.645Z] Top recommended movies for user id 72:
[2026-01-14T15:45:02.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:45:02.645Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:45:02.645Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:45:02.645Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:45:02.645Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:45:02.645Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (31518.111 ms) ======
[2026-01-14T15:45:02.645Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-14T15:45:03.611Z] GC before operation: completed in 281.800 ms, heap usage 532.498 MB -> 93.442 MB.
[2026-01-14T15:45:08.004Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:45:12.302Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:45:17.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:45:22.077Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:45:25.265Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:45:27.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:45:30.402Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:45:32.394Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:45:33.368Z] 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.
[2026-01-14T15:45:33.368Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:45:33.368Z] Top recommended movies for user id 72:
[2026-01-14T15:45:33.368Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:45:33.368Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:45:33.368Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:45:33.368Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:45:33.368Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:45:33.368Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (29879.445 ms) ======
[2026-01-14T15:45:33.368Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-14T15:45:33.368Z] GC before operation: completed in 219.863 ms, heap usage 350.320 MB -> 89.874 MB.
[2026-01-14T15:45:38.819Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:45:41.882Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:45:47.346Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:45:51.131Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:45:53.139Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:45:56.214Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:45:59.280Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:46:02.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:46:02.356Z] 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.
[2026-01-14T15:46:02.356Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:46:02.356Z] Top recommended movies for user id 72:
[2026-01-14T15:46:02.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:46:02.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:46:02.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:46:02.356Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:46:02.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:46:02.356Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (29169.323 ms) ======
[2026-01-14T15:46:02.356Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-14T15:46:03.323Z] GC before operation: completed in 203.229 ms, heap usage 205.372 MB -> 89.828 MB.
[2026-01-14T15:46:07.525Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:46:11.738Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:46:15.960Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:46:20.187Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:46:22.181Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:46:25.245Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:46:27.310Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:46:30.377Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:46:30.377Z] 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.
[2026-01-14T15:46:30.377Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:46:30.377Z] Top recommended movies for user id 72:
[2026-01-14T15:46:30.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:46:30.377Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:46:30.377Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:46:30.377Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:46:30.377Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:46:30.377Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (27808.594 ms) ======
[2026-01-14T15:46:30.377Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-14T15:46:31.338Z] GC before operation: completed in 246.819 ms, heap usage 662.760 MB -> 93.496 MB.
[2026-01-14T15:46:35.555Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:46:39.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:46:41.308Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:46:44.362Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:46:46.339Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:46:48.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:46:49.288Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:46:51.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:46:52.231Z] 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.
[2026-01-14T15:46:52.231Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:46:52.231Z] Top recommended movies for user id 72:
[2026-01-14T15:46:52.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:46:52.231Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:46:52.231Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:46:52.231Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:46:52.231Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:46:52.231Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21103.538 ms) ======
[2026-01-14T15:46:52.231Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-14T15:46:52.231Z] GC before operation: completed in 172.445 ms, heap usage 351.851 MB -> 90.032 MB.
[2026-01-14T15:46:55.275Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:46:58.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:47:01.388Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:47:04.445Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:47:06.429Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:47:08.418Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:47:10.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:47:12.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:47:13.355Z] 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.
[2026-01-14T15:47:13.355Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:47:13.355Z] Top recommended movies for user id 72:
[2026-01-14T15:47:13.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:47:13.355Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:47:13.355Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:47:13.355Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:47:13.355Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:47:13.355Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21014.537 ms) ======
[2026-01-14T15:47:13.355Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-14T15:47:13.355Z] GC before operation: completed in 275.314 ms, heap usage 104.360 MB -> 90.039 MB.
[2026-01-14T15:47:17.737Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:47:23.235Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:47:27.874Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:47:30.958Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:47:34.039Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:47:36.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:47:38.026Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:47:41.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:47:41.093Z] 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.
[2026-01-14T15:47:41.093Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:47:42.068Z] Top recommended movies for user id 72:
[2026-01-14T15:47:42.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:47:42.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:47:42.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:47:42.068Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:47:42.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:47:42.068Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (28288.095 ms) ======
[2026-01-14T15:47:42.068Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-14T15:47:42.068Z] GC before operation: completed in 230.112 ms, heap usage 248.877 MB -> 89.821 MB.
[2026-01-14T15:47:46.274Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:47:50.515Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:47:54.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:47:58.945Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:48:00.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:48:02.927Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:48:05.994Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:48:09.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:48:09.100Z] 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.
[2026-01-14T15:48:09.100Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:48:09.100Z] Top recommended movies for user id 72:
[2026-01-14T15:48:09.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:48:09.100Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:48:09.100Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:48:09.100Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:48:09.100Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:48:09.100Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (27194.895 ms) ======
[2026-01-14T15:48:09.100Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-14T15:48:09.100Z] GC before operation: completed in 223.593 ms, heap usage 275.842 MB -> 90.142 MB.
[2026-01-14T15:48:13.313Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:48:18.006Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:48:22.250Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:48:26.475Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:48:28.461Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:48:30.438Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:48:32.416Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:48:34.399Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:48:34.399Z] 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.
[2026-01-14T15:48:34.399Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:48:34.399Z] Top recommended movies for user id 72:
[2026-01-14T15:48:34.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:48:34.399Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:48:34.399Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:48:34.399Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:48:34.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:48:34.399Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (25235.851 ms) ======
[2026-01-14T15:48:34.399Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-14T15:48:34.399Z] GC before operation: completed in 175.663 ms, heap usage 261.422 MB -> 89.963 MB.
[2026-01-14T15:48:38.597Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:48:41.645Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:48:44.691Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:48:46.659Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:48:48.640Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:48:50.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:48:52.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:48:53.572Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:48:54.719Z] 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.
[2026-01-14T15:48:54.719Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:48:54.719Z] Top recommended movies for user id 72:
[2026-01-14T15:48:54.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:48:54.719Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:48:54.719Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:48:54.719Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:48:54.719Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:48:54.719Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19528.772 ms) ======
[2026-01-14T15:48:54.719Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-14T15:48:54.719Z] GC before operation: completed in 164.405 ms, heap usage 236.153 MB -> 89.940 MB.
[2026-01-14T15:48:57.235Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:49:00.283Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:49:03.323Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:49:06.487Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:49:08.469Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:49:10.449Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:49:12.425Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:49:14.409Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:49:14.409Z] 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.
[2026-01-14T15:49:14.409Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:49:14.409Z] Top recommended movies for user id 72:
[2026-01-14T15:49:14.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:49:14.409Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:49:14.409Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:49:14.409Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:49:14.409Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:49:14.409Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19896.544 ms) ======
[2026-01-14T15:49:14.409Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-14T15:49:14.409Z] GC before operation: completed in 217.576 ms, heap usage 120.445 MB -> 92.640 MB.
[2026-01-14T15:49:18.608Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:49:20.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:49:24.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:49:26.854Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:49:28.835Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:49:30.811Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:49:32.781Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:49:34.896Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:49:34.897Z] 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.
[2026-01-14T15:49:34.897Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:49:34.897Z] Top recommended movies for user id 72:
[2026-01-14T15:49:34.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:49:34.897Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:49:34.897Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:49:34.897Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:49:34.897Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:49:34.897Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20483.387 ms) ======
[2026-01-14T15:49:34.897Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-14T15:49:34.897Z] GC before operation: completed in 167.993 ms, heap usage 195.882 MB -> 89.846 MB.
[2026-01-14T15:49:39.150Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T15:49:41.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T15:49:45.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T15:49:47.547Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T15:49:49.522Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T15:49:51.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T15:49:53.663Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T15:49:55.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T15:49:55.639Z] 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.
[2026-01-14T15:49:55.639Z] The best model improves the baseline by 14.52%.
[2026-01-14T15:49:55.639Z] Top recommended movies for user id 72:
[2026-01-14T15:49:55.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-14T15:49:55.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-14T15:49:55.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-14T15:49:55.639Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-14T15:49:55.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-14T15:49:55.639Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20736.699 ms) ======
[2026-01-14T15:49:57.615Z] -----------------------------------
[2026-01-14T15:49:57.615Z] renaissance-movie-lens_0_PASSED
[2026-01-14T15:49:57.615Z] -----------------------------------
[2026-01-14T15:49:57.615Z]
[2026-01-14T15:49:57.615Z] TEST TEARDOWN:
[2026-01-14T15:49:57.615Z] Nothing to be done for teardown.
[2026-01-14T15:49:57.615Z] renaissance-movie-lens_0 Finish Time: Wed Jan 14 15:49:57 2026 Epoch Time (ms): 1768405797439