renaissance-movie-lens_0
[2026-01-17T12:49:20.671Z] Running test renaissance-movie-lens_0 ...
[2026-01-17T12:49:20.671Z] ===============================================
[2026-01-17T12:49:20.671Z] renaissance-movie-lens_0 Start Time: Sat Jan 17 07:49:20 2026 Epoch Time (ms): 1768654160490
[2026-01-17T12:49:20.671Z] variation: NoOptions
[2026-01-17T12:49:20.671Z] JVM_OPTIONS:
[2026-01-17T12:49:20.671Z] { \
[2026-01-17T12:49:20.671Z] echo ""; echo "TEST SETUP:"; \
[2026-01-17T12:49:20.671Z] echo "Nothing to be done for setup."; \
[2026-01-17T12:49:20.671Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17686538513725/renaissance-movie-lens_0"; \
[2026-01-17T12:49:20.671Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17686538513725/renaissance-movie-lens_0"; \
[2026-01-17T12:49:20.671Z] echo ""; echo "TESTING:"; \
[2026-01-17T12:49:20.671Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17686538513725/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-17T12:49:20.671Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17686538513725/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-17T12:49:20.671Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-17T12:49:20.671Z] echo "Nothing to be done for teardown."; \
[2026-01-17T12:49:20.671Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17686538513725/TestTargetResult";
[2026-01-17T12:49:20.671Z]
[2026-01-17T12:49:20.671Z] TEST SETUP:
[2026-01-17T12:49:20.671Z] Nothing to be done for setup.
[2026-01-17T12:49:20.671Z]
[2026-01-17T12:49:20.671Z] TESTING:
[2026-01-17T12:49:21.021Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-17T12:49:21.021Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17686538513725/renaissance-movie-lens_0/launcher-074920-6571143780401888191/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-17T12:49:21.021Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-17T12:49:21.021Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-17T12:49:23.381Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-17T12:49:25.769Z] 07:49:25.146 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-17T12:49:26.134Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-17T12:49:26.520Z] Training: 60056, validation: 20285, test: 19854
[2026-01-17T12:49:26.520Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-17T12:49:26.520Z] GC before operation: completed in 60.439 ms, heap usage 236.492 MB -> 75.798 MB.
[2026-01-17T12:49:28.895Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:49:30.105Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:49:31.858Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:49:33.088Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:49:33.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:49:34.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:49:35.347Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:49:36.102Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:49:36.103Z] 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.
[2026-01-17T12:49:36.103Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:49:36.103Z] Top recommended movies for user id 72:
[2026-01-17T12:49:36.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:49:36.103Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:49:36.103Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:49:36.103Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:49:36.103Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:49:36.103Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (9756.141 ms) ======
[2026-01-17T12:49:36.103Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-17T12:49:36.103Z] GC before operation: completed in 43.469 ms, heap usage 107.475 MB -> 86.364 MB.
[2026-01-17T12:49:37.527Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:49:38.751Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:49:39.964Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:49:41.179Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:49:41.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:49:42.703Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:49:43.450Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:49:43.800Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:49:44.150Z] 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.
[2026-01-17T12:49:44.150Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:49:44.150Z] Top recommended movies for user id 72:
[2026-01-17T12:49:44.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:49:44.150Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:49:44.150Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:49:44.150Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:49:44.150Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:49:44.150Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (7924.862 ms) ======
[2026-01-17T12:49:44.150Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-17T12:49:44.150Z] GC before operation: completed in 44.309 ms, heap usage 307.052 MB -> 88.681 MB.
[2026-01-17T12:49:45.379Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:49:46.583Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:49:47.350Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:49:48.572Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:49:49.320Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:49:49.670Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:49:50.417Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:49:51.173Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:49:51.173Z] 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.
[2026-01-17T12:49:51.173Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:49:51.173Z] Top recommended movies for user id 72:
[2026-01-17T12:49:51.173Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:49:51.173Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:49:51.173Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:49:51.173Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:49:51.173Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:49:51.173Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7023.381 ms) ======
[2026-01-17T12:49:51.173Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-17T12:49:51.173Z] GC before operation: completed in 40.882 ms, heap usage 325.425 MB -> 89.499 MB.
[2026-01-17T12:49:52.399Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:49:53.617Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:49:54.381Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:49:55.601Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:49:56.847Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:49:57.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:49:58.405Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:49:58.760Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:49:58.760Z] 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.
[2026-01-17T12:49:58.760Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:49:59.110Z] Top recommended movies for user id 72:
[2026-01-17T12:49:59.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:49:59.110Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:49:59.110Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:49:59.110Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:49:59.110Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:49:59.111Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7677.949 ms) ======
[2026-01-17T12:49:59.111Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-17T12:49:59.111Z] GC before operation: completed in 43.434 ms, heap usage 366.466 MB -> 89.894 MB.
[2026-01-17T12:50:00.325Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:50:01.556Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:50:02.798Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:50:03.565Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:50:04.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:50:05.088Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:50:05.451Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:50:06.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:50:06.213Z] 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.
[2026-01-17T12:50:06.213Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:50:06.559Z] Top recommended movies for user id 72:
[2026-01-17T12:50:06.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:50:06.559Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:50:06.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:50:06.560Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:50:06.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:50:06.560Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7407.381 ms) ======
[2026-01-17T12:50:06.560Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-17T12:50:06.560Z] GC before operation: completed in 51.060 ms, heap usage 522.212 MB -> 93.196 MB.
[2026-01-17T12:50:07.777Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:50:08.989Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:50:10.208Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:50:10.961Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:50:11.710Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:50:12.468Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:50:13.237Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:50:13.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:50:13.991Z] 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.
[2026-01-17T12:50:13.991Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:50:14.341Z] Top recommended movies for user id 72:
[2026-01-17T12:50:14.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:50:14.341Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:50:14.341Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:50:14.341Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:50:14.342Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:50:14.342Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7730.927 ms) ======
[2026-01-17T12:50:14.342Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-17T12:50:14.342Z] GC before operation: completed in 43.585 ms, heap usage 132.332 MB -> 92.350 MB.
[2026-01-17T12:50:15.121Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:50:16.336Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:50:17.558Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:50:18.778Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:50:19.533Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:50:19.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:50:20.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:50:20.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:50:21.358Z] 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.
[2026-01-17T12:50:21.358Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:50:21.358Z] Top recommended movies for user id 72:
[2026-01-17T12:50:21.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:50:21.358Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:50:21.358Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:50:21.358Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:50:21.358Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:50:21.358Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7101.883 ms) ======
[2026-01-17T12:50:21.358Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-17T12:50:21.358Z] GC before operation: completed in 43.414 ms, heap usage 290.042 MB -> 90.020 MB.
[2026-01-17T12:50:22.589Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:50:23.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:50:24.556Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:50:25.776Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:50:26.533Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:50:26.886Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:50:27.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:50:28.389Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:50:28.389Z] 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.
[2026-01-17T12:50:28.389Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:50:28.389Z] Top recommended movies for user id 72:
[2026-01-17T12:50:28.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:50:28.389Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:50:28.389Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:50:28.389Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:50:28.389Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:50:28.389Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7009.024 ms) ======
[2026-01-17T12:50:28.389Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-17T12:50:28.389Z] GC before operation: completed in 47.743 ms, heap usage 288.015 MB -> 90.241 MB.
[2026-01-17T12:50:29.615Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:50:30.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:50:31.597Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:50:32.815Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:50:33.167Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:50:33.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:50:34.668Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:50:35.027Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:50:35.379Z] 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.
[2026-01-17T12:50:35.379Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:50:35.379Z] Top recommended movies for user id 72:
[2026-01-17T12:50:35.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:50:35.379Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:50:35.379Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:50:35.379Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:50:35.379Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:50:35.379Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6875.244 ms) ======
[2026-01-17T12:50:35.379Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-17T12:50:35.379Z] GC before operation: completed in 42.425 ms, heap usage 358.547 MB -> 90.114 MB.
[2026-01-17T12:50:36.601Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:50:37.355Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:50:38.108Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:50:38.877Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:50:39.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:50:39.985Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:50:40.779Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:50:41.191Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:50:41.191Z] 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.
[2026-01-17T12:50:41.191Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:50:41.541Z] Top recommended movies for user id 72:
[2026-01-17T12:50:41.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:50:41.541Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:50:41.541Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:50:41.541Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:50:41.541Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:50:41.541Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6065.626 ms) ======
[2026-01-17T12:50:41.541Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-17T12:50:41.541Z] GC before operation: completed in 42.526 ms, heap usage 210.223 MB -> 90.180 MB.
[2026-01-17T12:50:42.290Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:50:43.513Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:50:44.280Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:50:45.487Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:50:45.840Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:50:46.618Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:50:46.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:50:47.727Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:50:47.727Z] 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.
[2026-01-17T12:50:47.727Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:50:47.727Z] Top recommended movies for user id 72:
[2026-01-17T12:50:47.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:50:47.727Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:50:47.727Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:50:47.727Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:50:47.727Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:50:47.727Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6364.233 ms) ======
[2026-01-17T12:50:47.727Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-17T12:50:47.727Z] GC before operation: completed in 44.939 ms, heap usage 209.838 MB -> 89.869 MB.
[2026-01-17T12:50:48.944Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:50:50.169Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:50:50.926Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:50:52.157Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:50:52.505Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:50:53.271Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:50:53.623Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:50:54.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:50:54.397Z] 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.
[2026-01-17T12:50:54.397Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:50:54.397Z] Top recommended movies for user id 72:
[2026-01-17T12:50:54.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:50:54.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:50:54.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:50:54.397Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:50:54.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:50:54.397Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6518.457 ms) ======
[2026-01-17T12:50:54.397Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-17T12:50:54.397Z] GC before operation: completed in 41.879 ms, heap usage 336.129 MB -> 90.258 MB.
[2026-01-17T12:50:55.617Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:50:56.373Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:50:57.597Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:50:58.362Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:50:59.126Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:50:59.476Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:51:00.259Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:51:00.619Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:51:00.968Z] 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.
[2026-01-17T12:51:00.968Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:51:00.968Z] Top recommended movies for user id 72:
[2026-01-17T12:51:00.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:51:00.968Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:51:00.968Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:51:00.968Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:51:00.968Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:51:00.968Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6452.146 ms) ======
[2026-01-17T12:51:00.968Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-17T12:51:00.968Z] GC before operation: completed in 43.297 ms, heap usage 286.485 MB -> 90.410 MB.
[2026-01-17T12:51:01.725Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:51:02.962Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:51:03.733Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:51:04.959Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:51:05.312Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:51:06.078Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:51:06.433Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:51:07.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:51:07.200Z] 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.
[2026-01-17T12:51:07.200Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:51:07.200Z] Top recommended movies for user id 72:
[2026-01-17T12:51:07.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:51:07.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:51:07.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:51:07.200Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:51:07.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:51:07.200Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6271.065 ms) ======
[2026-01-17T12:51:07.200Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-17T12:51:07.200Z] GC before operation: completed in 41.434 ms, heap usage 287.678 MB -> 90.273 MB.
[2026-01-17T12:51:08.433Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:51:09.190Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:51:09.954Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:51:11.180Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:51:11.533Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:51:12.297Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:51:12.648Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:51:13.011Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:51:13.372Z] 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.
[2026-01-17T12:51:13.372Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:51:13.372Z] Top recommended movies for user id 72:
[2026-01-17T12:51:13.372Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:51:13.372Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:51:13.372Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:51:13.372Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:51:13.372Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:51:13.372Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (6071.133 ms) ======
[2026-01-17T12:51:13.372Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-17T12:51:13.372Z] GC before operation: completed in 42.795 ms, heap usage 504.906 MB -> 90.661 MB.
[2026-01-17T12:51:14.597Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:51:15.359Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:51:16.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:51:17.348Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:51:17.705Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:51:18.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:51:19.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:51:19.580Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:51:19.932Z] 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.
[2026-01-17T12:51:19.932Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:51:19.932Z] Top recommended movies for user id 72:
[2026-01-17T12:51:19.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:51:19.932Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:51:19.932Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:51:19.932Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:51:19.932Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:51:19.932Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (6491.912 ms) ======
[2026-01-17T12:51:19.932Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-17T12:51:19.932Z] GC before operation: completed in 42.624 ms, heap usage 122.737 MB -> 92.692 MB.
[2026-01-17T12:51:20.688Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:51:21.912Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:51:22.677Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:51:23.898Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:51:24.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:51:24.613Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:51:25.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:51:25.755Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:51:26.108Z] 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.
[2026-01-17T12:51:26.108Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:51:26.108Z] Top recommended movies for user id 72:
[2026-01-17T12:51:26.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:51:26.108Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:51:26.108Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:51:26.108Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:51:26.108Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:51:26.108Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6212.670 ms) ======
[2026-01-17T12:51:26.108Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-17T12:51:26.108Z] GC before operation: completed in 42.172 ms, heap usage 354.623 MB -> 90.476 MB.
[2026-01-17T12:51:27.320Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:51:28.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:51:29.306Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:51:30.069Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:51:30.826Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:51:31.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:51:31.936Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:51:32.299Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:51:32.299Z] 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.
[2026-01-17T12:51:32.299Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:51:32.299Z] Top recommended movies for user id 72:
[2026-01-17T12:51:32.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:51:32.299Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:51:32.299Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:51:32.299Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:51:32.299Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:51:32.299Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6328.911 ms) ======
[2026-01-17T12:51:32.299Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-17T12:51:32.650Z] GC before operation: completed in 40.560 ms, heap usage 319.137 MB -> 90.160 MB.
[2026-01-17T12:51:33.412Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:51:34.172Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:51:35.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:51:36.155Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:51:36.915Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:51:37.265Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:51:38.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:51:38.391Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:51:38.391Z] 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.
[2026-01-17T12:51:38.391Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:51:38.391Z] Top recommended movies for user id 72:
[2026-01-17T12:51:38.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:51:38.391Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:51:38.391Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:51:38.391Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:51:38.391Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:51:38.391Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6044.212 ms) ======
[2026-01-17T12:51:38.391Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-17T12:51:38.751Z] GC before operation: completed in 44.500 ms, heap usage 146.377 MB -> 90.092 MB.
[2026-01-17T12:51:39.532Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T12:51:40.753Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T12:51:41.985Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T12:51:42.738Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T12:51:43.523Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T12:51:44.303Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T12:51:44.669Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T12:51:45.419Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T12:51:45.419Z] 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.
[2026-01-17T12:51:45.419Z] The best model improves the baseline by 14.52%.
[2026-01-17T12:51:45.419Z] Top recommended movies for user id 72:
[2026-01-17T12:51:45.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T12:51:45.419Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T12:51:45.419Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T12:51:45.419Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T12:51:45.419Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T12:51:45.419Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6965.132 ms) ======
[2026-01-17T12:51:45.769Z] -----------------------------------
[2026-01-17T12:51:45.769Z] renaissance-movie-lens_0_PASSED
[2026-01-17T12:51:45.769Z] -----------------------------------
[2026-01-17T12:51:45.769Z]
[2026-01-17T12:51:45.769Z] TEST TEARDOWN:
[2026-01-17T12:51:45.769Z] Nothing to be done for teardown.
[2026-01-17T12:51:45.769Z] renaissance-movie-lens_0 Finish Time: Sat Jan 17 07:51:45 2026 Epoch Time (ms): 1768654305529