renaissance-movie-lens_0
[2026-02-13T08:23:28.295Z] Running test renaissance-movie-lens_0 ...
[2026-02-13T08:23:28.295Z] ===============================================
[2026-02-13T08:23:28.295Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 08:23:28 2026 Epoch Time (ms): 1770971008013
[2026-02-13T08:23:28.295Z] variation: NoOptions
[2026-02-13T08:23:28.295Z] JVM_OPTIONS:
[2026-02-13T08:23:28.295Z] { \
[2026-02-13T08:23:28.295Z] echo ""; echo "TEST SETUP:"; \
[2026-02-13T08:23:28.295Z] echo "Nothing to be done for setup."; \
[2026-02-13T08:23:28.295Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709701863105/renaissance-movie-lens_0"; \
[2026-02-13T08:23:28.295Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709701863105/renaissance-movie-lens_0"; \
[2026-02-13T08:23:28.295Z] echo ""; echo "TESTING:"; \
[2026-02-13T08:23:28.295Z] "/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_17709701863105/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-13T08:23:28.295Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709701863105/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-13T08:23:28.295Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-13T08:23:28.295Z] echo "Nothing to be done for teardown."; \
[2026-02-13T08:23:28.295Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709701863105/TestTargetResult";
[2026-02-13T08:23:28.295Z]
[2026-02-13T08:23:28.295Z] TEST SETUP:
[2026-02-13T08:23:28.295Z] Nothing to be done for setup.
[2026-02-13T08:23:28.295Z]
[2026-02-13T08:23:28.295Z] TESTING:
[2026-02-13T08:23:29.264Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-13T08:23:29.264Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17709701863105/renaissance-movie-lens_0/launcher-082328-18143306560797336694/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-13T08:23:29.264Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-13T08:23:29.264Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-13T08:23:34.739Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-13T08:23:41.554Z] 08:23:40.519 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-13T08:23:43.141Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-13T08:23:43.141Z] Training: 60056, validation: 20285, test: 19854
[2026-02-13T08:23:43.141Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-13T08:23:43.141Z] GC before operation: completed in 104.712 ms, heap usage 410.561 MB -> 75.859 MB.
[2026-02-13T08:23:48.619Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:23:51.708Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:23:55.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:23:57.946Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:23:59.936Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:24:01.932Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:24:02.906Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:24:04.897Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:24:04.897Z] 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.
[2026-02-13T08:24:04.897Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:24:04.897Z] Top recommended movies for user id 72:
[2026-02-13T08:24:04.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:24:04.897Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:24:04.897Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:24:04.897Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:24:04.897Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:24:04.897Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22050.506 ms) ======
[2026-02-13T08:24:04.897Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-13T08:24:05.873Z] GC before operation: completed in 137.382 ms, heap usage 223.128 MB -> 89.647 MB.
[2026-02-13T08:24:07.871Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:24:10.946Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:24:12.941Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:24:16.030Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:24:17.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:24:23.816Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:24:23.816Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:24:23.816Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:24:23.816Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:24:23.816Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:24:23.816Z] Top recommended movies for user id 72:
[2026-02-13T08:24:23.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:24:23.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:24:23.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:24:23.816Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:24:23.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:24:23.816Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16521.941 ms) ======
[2026-02-13T08:24:23.816Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-13T08:24:23.816Z] GC before operation: completed in 116.437 ms, heap usage 428.590 MB -> 88.810 MB.
[2026-02-13T08:24:24.790Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:24:27.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:24:29.860Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:24:31.859Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:24:32.835Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:24:34.824Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:24:35.791Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:24:36.761Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:24:36.761Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:24:37.730Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:24:37.730Z] Top recommended movies for user id 72:
[2026-02-13T08:24:37.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:24:37.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:24:37.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:24:37.730Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:24:37.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:24:37.730Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15296.406 ms) ======
[2026-02-13T08:24:37.730Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-13T08:24:37.730Z] GC before operation: completed in 139.897 ms, heap usage 361.180 MB -> 89.391 MB.
[2026-02-13T08:24:39.730Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:24:41.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:24:44.799Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:24:46.795Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:24:47.769Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:24:49.961Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:24:51.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:24:52.142Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:24:53.127Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:24:53.127Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:24:53.127Z] Top recommended movies for user id 72:
[2026-02-13T08:24:53.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:24:53.127Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:24:53.127Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:24:53.127Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:24:53.127Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:24:53.127Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15248.464 ms) ======
[2026-02-13T08:24:53.127Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-13T08:24:53.127Z] GC before operation: completed in 137.323 ms, heap usage 394.991 MB -> 89.738 MB.
[2026-02-13T08:24:55.128Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:24:57.123Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:25:00.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:25:02.206Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:25:03.179Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:25:05.170Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:25:06.173Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:25:08.164Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:25:08.164Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:25:08.164Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:25:08.164Z] Top recommended movies for user id 72:
[2026-02-13T08:25:08.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:25:08.164Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:25:08.164Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:25:08.164Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:25:08.164Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:25:08.164Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15076.905 ms) ======
[2026-02-13T08:25:08.164Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-13T08:25:08.164Z] GC before operation: completed in 130.793 ms, heap usage 366.936 MB -> 89.651 MB.
[2026-02-13T08:25:10.162Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:25:13.240Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:25:15.227Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:25:17.226Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:25:18.201Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:25:19.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:25:21.182Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:25:22.551Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:25:22.551Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:25:22.551Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:25:22.551Z] Top recommended movies for user id 72:
[2026-02-13T08:25:22.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:25:22.551Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:25:22.551Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:25:22.551Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:25:22.551Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:25:22.551Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14291.672 ms) ======
[2026-02-13T08:25:22.551Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-13T08:25:22.551Z] GC before operation: completed in 135.951 ms, heap usage 360.858 MB -> 90.013 MB.
[2026-02-13T08:25:25.098Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:25:27.094Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:25:29.093Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:25:31.093Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:25:32.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:25:33.045Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:25:35.043Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:25:36.022Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:25:36.022Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:25:36.022Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:25:36.022Z] Top recommended movies for user id 72:
[2026-02-13T08:25:36.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:25:36.022Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:25:36.022Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:25:36.022Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:25:36.022Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:25:36.022Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13695.018 ms) ======
[2026-02-13T08:25:36.022Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-13T08:25:36.022Z] GC before operation: completed in 149.154 ms, heap usage 181.704 MB -> 89.685 MB.
[2026-02-13T08:25:38.014Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:25:41.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:25:43.093Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:25:45.114Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:25:46.097Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:25:48.089Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:25:49.062Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:25:50.034Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:25:50.034Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:25:50.034Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:25:51.055Z] Top recommended movies for user id 72:
[2026-02-13T08:25:51.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:25:51.055Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:25:51.055Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:25:51.055Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:25:51.055Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:25:51.055Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14268.933 ms) ======
[2026-02-13T08:25:51.055Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-13T08:25:51.055Z] GC before operation: completed in 136.571 ms, heap usage 366.963 MB -> 90.168 MB.
[2026-02-13T08:25:53.043Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:25:55.042Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:25:57.056Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:25:59.053Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:26:01.043Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:26:02.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:26:02.986Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:26:04.980Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:26:04.980Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:26:04.980Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:26:04.980Z] Top recommended movies for user id 72:
[2026-02-13T08:26:04.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:26:04.980Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:26:04.980Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:26:04.980Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:26:04.980Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:26:04.980Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14273.989 ms) ======
[2026-02-13T08:26:04.980Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-13T08:26:04.980Z] GC before operation: completed in 136.793 ms, heap usage 371.963 MB -> 89.986 MB.
[2026-02-13T08:26:08.065Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:26:10.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:26:12.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:26:14.059Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:26:15.034Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:26:17.027Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:26:17.995Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:26:18.973Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:26:18.973Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:26:18.973Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:26:19.946Z] Top recommended movies for user id 72:
[2026-02-13T08:26:19.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:26:19.946Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:26:19.946Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:26:19.946Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:26:19.946Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:26:19.946Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14267.428 ms) ======
[2026-02-13T08:26:19.946Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-13T08:26:19.946Z] GC before operation: completed in 136.893 ms, heap usage 376.321 MB -> 90.275 MB.
[2026-02-13T08:26:21.942Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:26:24.671Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:26:25.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:26:27.643Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:26:29.648Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:26:30.621Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:26:32.621Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:26:33.594Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:26:33.594Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:26:33.594Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:26:33.594Z] Top recommended movies for user id 72:
[2026-02-13T08:26:33.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:26:33.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:26:33.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:26:33.594Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:26:33.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:26:33.594Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14306.369 ms) ======
[2026-02-13T08:26:33.594Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-13T08:26:33.594Z] GC before operation: completed in 121.502 ms, heap usage 335.898 MB -> 89.979 MB.
[2026-02-13T08:26:36.674Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:26:38.670Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:26:40.665Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:26:43.742Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:26:44.712Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:26:45.684Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:26:47.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:26:48.652Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:26:48.652Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:26:48.652Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:26:48.652Z] Top recommended movies for user id 72:
[2026-02-13T08:26:48.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:26:48.652Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:26:48.652Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:26:48.652Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:26:48.652Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:26:48.652Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14610.486 ms) ======
[2026-02-13T08:26:48.652Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-13T08:26:48.652Z] GC before operation: completed in 129.738 ms, heap usage 253.322 MB -> 90.048 MB.
[2026-02-13T08:26:50.647Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:26:52.642Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:26:54.665Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:26:56.659Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:26:58.652Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:26:59.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:27:01.615Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:27:02.590Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:27:02.590Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:27:02.590Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:27:02.590Z] Top recommended movies for user id 72:
[2026-02-13T08:27:02.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:27:02.590Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:27:02.590Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:27:02.590Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:27:02.590Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:27:02.590Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14047.750 ms) ======
[2026-02-13T08:27:02.590Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-13T08:27:02.590Z] GC before operation: completed in 137.895 ms, heap usage 177.777 MB -> 90.148 MB.
[2026-02-13T08:27:05.666Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:27:07.665Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:27:09.666Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:27:11.660Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:27:13.653Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:27:14.627Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:27:15.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:27:17.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:27:17.593Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:27:17.593Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:27:17.593Z] Top recommended movies for user id 72:
[2026-02-13T08:27:17.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:27:17.593Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:27:17.593Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:27:17.593Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:27:17.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:27:17.593Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14627.604 ms) ======
[2026-02-13T08:27:17.593Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-13T08:27:17.593Z] GC before operation: completed in 126.070 ms, heap usage 428.842 MB -> 90.088 MB.
[2026-02-13T08:27:19.588Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:27:22.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:27:24.113Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:27:26.114Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:27:28.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:27:29.078Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:27:30.051Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:27:31.032Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:27:32.002Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:27:32.002Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:27:32.002Z] Top recommended movies for user id 72:
[2026-02-13T08:27:32.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:27:32.002Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:27:32.002Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:27:32.002Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:27:32.002Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:27:32.002Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14084.462 ms) ======
[2026-02-13T08:27:32.002Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-13T08:27:32.002Z] GC before operation: completed in 131.104 ms, heap usage 446.570 MB -> 90.469 MB.
[2026-02-13T08:27:33.996Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:27:35.995Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:27:37.992Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:27:40.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:27:42.004Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:27:42.978Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:27:44.980Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:27:45.950Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:27:45.950Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:27:45.950Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:27:45.950Z] Top recommended movies for user id 72:
[2026-02-13T08:27:45.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:27:45.950Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:27:45.950Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:27:45.950Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:27:45.950Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:27:45.950Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14183.955 ms) ======
[2026-02-13T08:27:45.950Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-13T08:27:45.950Z] GC before operation: completed in 139.489 ms, heap usage 446.266 MB -> 90.275 MB.
[2026-02-13T08:27:47.944Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:27:49.940Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:27:52.074Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:27:54.067Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:27:56.065Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:27:57.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:27:58.010Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:28:00.002Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:28:00.002Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:28:00.002Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:28:00.002Z] Top recommended movies for user id 72:
[2026-02-13T08:28:00.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:28:00.002Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:28:00.002Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:28:00.002Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:28:00.002Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:28:00.002Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13624.394 ms) ======
[2026-02-13T08:28:00.002Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-13T08:28:00.002Z] GC before operation: completed in 122.296 ms, heap usage 446.281 MB -> 90.403 MB.
[2026-02-13T08:28:01.997Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:28:03.993Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:28:07.069Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:28:09.066Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:28:10.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:28:11.015Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:28:12.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:28:14.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:28:14.006Z] 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.
[2026-02-13T08:28:14.006Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:28:14.006Z] Top recommended movies for user id 72:
[2026-02-13T08:28:14.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:28:14.006Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:28:14.006Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:28:14.006Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:28:14.006Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:28:14.006Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14059.786 ms) ======
[2026-02-13T08:28:14.006Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-13T08:28:14.006Z] GC before operation: completed in 133.351 ms, heap usage 333.702 MB -> 90.092 MB.
[2026-02-13T08:28:16.028Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:28:19.103Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:28:21.097Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:28:23.646Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:28:23.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:28:24.617Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:28:25.586Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:28:27.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:28:27.577Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:28:27.577Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:28:27.577Z] Top recommended movies for user id 72:
[2026-02-13T08:28:27.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:28:27.577Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:28:27.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:28:27.577Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:28:27.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:28:27.577Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13242.342 ms) ======
[2026-02-13T08:28:27.577Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-13T08:28:27.577Z] GC before operation: completed in 126.236 ms, heap usage 782.706 MB -> 94.025 MB.
[2026-02-13T08:28:29.567Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T08:28:31.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T08:28:33.582Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T08:28:35.576Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T08:28:36.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T08:28:37.544Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T08:28:39.548Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T08:28:40.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T08:28:40.520Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T08:28:40.520Z] The best model improves the baseline by 14.52%.
[2026-02-13T08:28:40.520Z] Top recommended movies for user id 72:
[2026-02-13T08:28:40.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T08:28:40.520Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T08:28:40.520Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T08:28:40.520Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T08:28:40.520Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T08:28:40.520Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12995.315 ms) ======
[2026-02-13T08:28:41.488Z] -----------------------------------
[2026-02-13T08:28:41.488Z] renaissance-movie-lens_0_PASSED
[2026-02-13T08:28:41.488Z] -----------------------------------
[2026-02-13T08:28:41.488Z]
[2026-02-13T08:28:41.488Z] TEST TEARDOWN:
[2026-02-13T08:28:41.488Z] Nothing to be done for teardown.
[2026-02-13T08:28:41.488Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 08:28:40 2026 Epoch Time (ms): 1770971320589