renaissance-movie-lens_0
[2026-01-10T12:25:37.478Z] Running test renaissance-movie-lens_0 ...
[2026-01-10T12:25:37.478Z] ===============================================
[2026-01-10T12:25:37.478Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 12:25:36 2026 Epoch Time (ms): 1768047936725
[2026-01-10T12:25:37.478Z] variation: NoOptions
[2026-01-10T12:25:37.478Z] JVM_OPTIONS:
[2026-01-10T12:25:37.478Z] { \
[2026-01-10T12:25:37.478Z] echo ""; echo "TEST SETUP:"; \
[2026-01-10T12:25:37.478Z] echo "Nothing to be done for setup."; \
[2026-01-10T12:25:37.478Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17680466747500/renaissance-movie-lens_0"; \
[2026-01-10T12:25:37.478Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17680466747500/renaissance-movie-lens_0"; \
[2026-01-10T12:25:37.478Z] echo ""; echo "TESTING:"; \
[2026-01-10T12:25:37.478Z] "/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_17680466747500/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-10T12:25:37.478Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17680466747500/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-10T12:25:37.478Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-10T12:25:37.478Z] echo "Nothing to be done for teardown."; \
[2026-01-10T12:25:37.478Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17680466747500/TestTargetResult";
[2026-01-10T12:25:37.478Z]
[2026-01-10T12:25:37.478Z] TEST SETUP:
[2026-01-10T12:25:37.478Z] Nothing to be done for setup.
[2026-01-10T12:25:37.478Z]
[2026-01-10T12:25:37.478Z] TESTING:
[2026-01-10T12:25:37.478Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-10T12:25:37.478Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17680466747500/renaissance-movie-lens_0/launcher-122536-2161617487520924249/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-10T12:25:37.478Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-10T12:25:37.478Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-10T12:25:44.183Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-10T12:25:53.972Z] 12:25:53.473 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-10T12:25:57.013Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-10T12:25:57.013Z] Training: 60056, validation: 20285, test: 19854
[2026-01-10T12:25:57.013Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-10T12:25:57.013Z] GC before operation: completed in 160.169 ms, heap usage 373.227 MB -> 75.884 MB.
[2026-01-10T12:26:04.590Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:26:08.770Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:26:12.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:26:15.980Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:26:19.009Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:26:20.983Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:26:22.950Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:26:24.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:26:24.914Z] 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.
[2026-01-10T12:26:24.914Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:26:25.874Z] Top recommended movies for user id 72:
[2026-01-10T12:26:25.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:26:25.874Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:26:25.874Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:26:25.874Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:26:25.874Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:26:25.874Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28362.575 ms) ======
[2026-01-10T12:26:25.874Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-10T12:26:25.874Z] GC before operation: completed in 190.041 ms, heap usage 206.448 MB -> 96.333 MB.
[2026-01-10T12:26:28.912Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:26:33.130Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:26:36.177Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:26:39.200Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:26:41.173Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:26:42.131Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:26:44.096Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:26:46.064Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:26:46.064Z] 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.
[2026-01-10T12:26:47.019Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:26:47.019Z] Top recommended movies for user id 72:
[2026-01-10T12:26:47.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:26:47.019Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:26:47.019Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:26:47.019Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:26:47.019Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:26:47.019Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20902.738 ms) ======
[2026-01-10T12:26:47.019Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-10T12:26:47.019Z] GC before operation: completed in 173.487 ms, heap usage 472.363 MB -> 88.800 MB.
[2026-01-10T12:26:50.050Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:26:53.084Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:26:56.816Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:26:59.842Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:27:01.804Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:27:02.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:27:04.756Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:27:06.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:27:06.714Z] 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.
[2026-01-10T12:27:06.714Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:27:07.704Z] Top recommended movies for user id 72:
[2026-01-10T12:27:07.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:27:07.704Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:27:07.704Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:27:07.704Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:27:07.704Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:27:07.704Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20302.873 ms) ======
[2026-01-10T12:27:07.704Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-10T12:27:07.704Z] GC before operation: completed in 207.401 ms, heap usage 100.351 MB -> 91.954 MB.
[2026-01-10T12:27:10.729Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:27:13.808Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:27:16.831Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:27:19.864Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:27:21.830Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:27:22.836Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:27:24.805Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:27:26.819Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:27:26.819Z] 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.
[2026-01-10T12:27:26.819Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:27:26.819Z] Top recommended movies for user id 72:
[2026-01-10T12:27:26.819Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:27:26.819Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:27:26.819Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:27:26.819Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:27:26.819Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:27:26.819Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19570.925 ms) ======
[2026-01-10T12:27:26.819Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-10T12:27:26.819Z] GC before operation: completed in 158.258 ms, heap usage 706.870 MB -> 95.085 MB.
[2026-01-10T12:27:29.847Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:27:32.873Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:27:37.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:27:38.994Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:27:40.961Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:27:42.927Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:27:44.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:27:46.575Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:27:46.575Z] 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.
[2026-01-10T12:27:46.575Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:27:46.575Z] Top recommended movies for user id 72:
[2026-01-10T12:27:46.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:27:46.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:27:46.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:27:46.575Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:27:46.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:27:46.575Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19417.611 ms) ======
[2026-01-10T12:27:46.575Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-10T12:27:46.575Z] GC before operation: completed in 139.004 ms, heap usage 408.666 MB -> 89.646 MB.
[2026-01-10T12:27:49.621Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:27:52.673Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:27:55.706Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:27:57.669Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:27:59.796Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:28:01.765Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:28:03.722Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:28:04.675Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:28:04.675Z] 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.
[2026-01-10T12:28:04.675Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:28:05.682Z] Top recommended movies for user id 72:
[2026-01-10T12:28:05.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:28:05.682Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:28:05.682Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:28:05.682Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:28:05.682Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:28:05.682Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18488.212 ms) ======
[2026-01-10T12:28:05.682Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-10T12:28:05.682Z] GC before operation: completed in 198.996 ms, heap usage 364.858 MB -> 89.942 MB.
[2026-01-10T12:28:08.729Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:28:11.759Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:28:14.791Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:28:16.752Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:28:18.709Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:28:20.668Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:28:21.627Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:28:23.592Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:28:23.592Z] 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.
[2026-01-10T12:28:23.592Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:28:23.592Z] Top recommended movies for user id 72:
[2026-01-10T12:28:23.592Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:28:23.592Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:28:23.592Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:28:23.592Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:28:23.592Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:28:23.592Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18569.607 ms) ======
[2026-01-10T12:28:23.592Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-10T12:28:24.566Z] GC before operation: completed in 149.543 ms, heap usage 519.539 MB -> 93.383 MB.
[2026-01-10T12:28:26.532Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:28:29.562Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:28:32.584Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:28:34.998Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:28:36.965Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:28:37.922Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:28:39.889Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:28:41.853Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:28:41.853Z] 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.
[2026-01-10T12:28:41.853Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:28:41.853Z] Top recommended movies for user id 72:
[2026-01-10T12:28:41.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:28:41.853Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:28:41.853Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:28:41.853Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:28:41.853Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:28:41.853Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17722.754 ms) ======
[2026-01-10T12:28:41.853Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-10T12:28:41.853Z] GC before operation: completed in 138.975 ms, heap usage 406.819 MB -> 90.199 MB.
[2026-01-10T12:28:44.887Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:28:47.907Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:28:49.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:28:52.889Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:28:54.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:28:56.811Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:28:57.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:28:59.788Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:28:59.788Z] 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.
[2026-01-10T12:28:59.788Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:28:59.788Z] Top recommended movies for user id 72:
[2026-01-10T12:28:59.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:28:59.788Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:28:59.788Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:28:59.788Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:28:59.788Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:28:59.788Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17832.304 ms) ======
[2026-01-10T12:28:59.788Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-10T12:28:59.788Z] GC before operation: completed in 139.841 ms, heap usage 419.754 MB -> 90.067 MB.
[2026-01-10T12:29:02.822Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:29:04.782Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:29:07.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:29:09.788Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:29:11.748Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:29:13.725Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:29:14.677Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:29:16.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:29:16.639Z] 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.
[2026-01-10T12:29:16.639Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:29:16.639Z] Top recommended movies for user id 72:
[2026-01-10T12:29:16.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:29:16.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:29:16.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:29:16.639Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:29:16.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:29:16.639Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16895.523 ms) ======
[2026-01-10T12:29:16.639Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-10T12:29:16.639Z] GC before operation: completed in 145.525 ms, heap usage 254.825 MB -> 90.062 MB.
[2026-01-10T12:29:19.689Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:29:21.645Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:29:25.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:29:27.065Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:29:29.111Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:29:31.077Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:29:33.041Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:29:35.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:29:35.006Z] 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.
[2026-01-10T12:29:35.006Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:29:35.006Z] Top recommended movies for user id 72:
[2026-01-10T12:29:35.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:29:35.006Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:29:35.006Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:29:35.006Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:29:35.006Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:29:35.006Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18027.464 ms) ======
[2026-01-10T12:29:35.006Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-10T12:29:35.006Z] GC before operation: completed in 157.845 ms, heap usage 190.432 MB -> 89.627 MB.
[2026-01-10T12:29:38.043Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:29:41.259Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:29:43.233Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:29:46.269Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:29:48.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:29:49.199Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:29:51.171Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:29:53.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:29:53.132Z] 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.
[2026-01-10T12:29:53.132Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:29:54.119Z] Top recommended movies for user id 72:
[2026-01-10T12:29:54.119Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:29:54.119Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:29:54.119Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:29:54.119Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:29:54.119Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:29:54.119Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18614.318 ms) ======
[2026-01-10T12:29:54.119Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-10T12:29:54.119Z] GC before operation: completed in 144.287 ms, heap usage 111.735 MB -> 89.923 MB.
[2026-01-10T12:29:57.149Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:30:00.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:30:02.157Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:30:05.246Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:30:06.229Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:30:08.735Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:30:09.697Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:30:11.668Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:30:11.668Z] 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.
[2026-01-10T12:30:11.668Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:30:11.668Z] Top recommended movies for user id 72:
[2026-01-10T12:30:11.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:30:11.668Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:30:11.668Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:30:11.668Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:30:11.668Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:30:11.668Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17968.576 ms) ======
[2026-01-10T12:30:11.668Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-10T12:30:11.668Z] GC before operation: completed in 152.722 ms, heap usage 339.870 MB -> 90.256 MB.
[2026-01-10T12:30:14.694Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:30:17.728Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:30:20.772Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:30:22.742Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:30:24.709Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:30:25.668Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:30:27.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:30:29.609Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:30:29.609Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T12:30:29.609Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:30:29.609Z] Top recommended movies for user id 72:
[2026-01-10T12:30:29.609Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:30:29.609Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:30:29.609Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:30:29.609Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:30:29.609Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:30:29.609Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17698.583 ms) ======
[2026-01-10T12:30:29.609Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-10T12:30:29.609Z] GC before operation: completed in 159.544 ms, heap usage 367.815 MB -> 90.133 MB.
[2026-01-10T12:30:32.639Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:30:35.671Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:30:37.638Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:30:40.670Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:30:41.625Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:30:43.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:30:44.545Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:30:46.508Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:30:46.508Z] 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.
[2026-01-10T12:30:46.508Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:30:46.508Z] Top recommended movies for user id 72:
[2026-01-10T12:30:46.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:30:46.508Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:30:46.508Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:30:46.508Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:30:46.508Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:30:46.508Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16551.953 ms) ======
[2026-01-10T12:30:46.508Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-10T12:30:46.508Z] GC before operation: completed in 142.883 ms, heap usage 161.865 MB -> 92.331 MB.
[2026-01-10T12:30:49.534Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:30:52.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:30:54.527Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:30:57.557Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:30:59.520Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:31:01.300Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:31:03.263Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:31:04.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:31:04.223Z] 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.
[2026-01-10T12:31:04.223Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:31:05.180Z] Top recommended movies for user id 72:
[2026-01-10T12:31:05.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:31:05.180Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:31:05.180Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:31:05.180Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:31:05.180Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:31:05.180Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18214.412 ms) ======
[2026-01-10T12:31:05.180Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-10T12:31:05.180Z] GC before operation: completed in 140.163 ms, heap usage 174.551 MB -> 89.927 MB.
[2026-01-10T12:31:07.140Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:31:10.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:31:12.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:31:15.153Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:31:17.115Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:31:18.068Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:31:20.033Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:31:20.990Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:31:21.942Z] 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.
[2026-01-10T12:31:21.942Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:31:21.942Z] Top recommended movies for user id 72:
[2026-01-10T12:31:21.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:31:21.942Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:31:21.942Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:31:21.942Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:31:21.942Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:31:21.942Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16764.221 ms) ======
[2026-01-10T12:31:21.942Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-10T12:31:21.942Z] GC before operation: completed in 153.720 ms, heap usage 407.883 MB -> 90.278 MB.
[2026-01-10T12:31:24.959Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:31:26.924Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:31:29.952Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:31:32.972Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:31:33.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:31:35.893Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:31:37.857Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:31:38.812Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:31:39.770Z] 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.
[2026-01-10T12:31:39.770Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:31:39.770Z] Top recommended movies for user id 72:
[2026-01-10T12:31:39.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:31:39.770Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:31:39.770Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:31:39.770Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:31:39.770Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:31:39.770Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17687.024 ms) ======
[2026-01-10T12:31:39.770Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-10T12:31:39.770Z] GC before operation: completed in 147.769 ms, heap usage 205.345 MB -> 89.863 MB.
[2026-01-10T12:31:42.800Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:31:44.796Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:31:47.824Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:31:50.889Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:31:52.545Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:31:53.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:31:55.457Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:31:56.426Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:31:56.426Z] 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.
[2026-01-10T12:31:56.426Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:31:56.426Z] Top recommended movies for user id 72:
[2026-01-10T12:31:56.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:31:56.426Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:31:56.426Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:31:56.426Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:31:56.426Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:31:56.426Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17114.880 ms) ======
[2026-01-10T12:31:56.426Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-10T12:31:57.377Z] GC before operation: completed in 151.815 ms, heap usage 471.106 MB -> 90.390 MB.
[2026-01-10T12:32:00.411Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T12:32:02.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T12:32:05.412Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T12:32:07.472Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T12:32:09.434Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T12:32:10.389Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T12:32:12.346Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T12:32:13.304Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T12:32:13.304Z] 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.
[2026-01-10T12:32:13.304Z] The best model improves the baseline by 14.52%.
[2026-01-10T12:32:14.256Z] Top recommended movies for user id 72:
[2026-01-10T12:32:14.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T12:32:14.256Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T12:32:14.256Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T12:32:14.256Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T12:32:14.256Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T12:32:14.256Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16999.968 ms) ======
[2026-01-10T12:32:15.210Z] -----------------------------------
[2026-01-10T12:32:15.210Z] renaissance-movie-lens_0_PASSED
[2026-01-10T12:32:15.210Z] -----------------------------------
[2026-01-10T12:32:15.210Z]
[2026-01-10T12:32:15.210Z] TEST TEARDOWN:
[2026-01-10T12:32:15.211Z] Nothing to be done for teardown.
[2026-01-10T12:32:15.211Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 12:32:14 2026 Epoch Time (ms): 1768048334739