renaissance-movie-lens_0
[2026-02-26T22:39:42.428Z] Running test renaissance-movie-lens_0 ...
[2026-02-26T22:39:42.428Z] ===============================================
[2026-02-26T22:39:42.428Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 17:39:42 2026 Epoch Time (ms): 1772145582300
[2026-02-26T22:39:42.428Z] variation: NoOptions
[2026-02-26T22:39:42.428Z] JVM_OPTIONS:
[2026-02-26T22:39:42.428Z] { \
[2026-02-26T22:39:42.428Z] echo ""; echo "TEST SETUP:"; \
[2026-02-26T22:39:42.428Z] echo "Nothing to be done for setup."; \
[2026-02-26T22:39:42.428Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17721451584984/renaissance-movie-lens_0"; \
[2026-02-26T22:39:42.428Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17721451584984/renaissance-movie-lens_0"; \
[2026-02-26T22:39:42.428Z] echo ""; echo "TESTING:"; \
[2026-02-26T22:39:42.428Z] "/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_17721451584984/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-26T22:39:42.428Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17721451584984/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-26T22:39:42.428Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-26T22:39:42.428Z] echo "Nothing to be done for teardown."; \
[2026-02-26T22:39:42.428Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17721451584984/TestTargetResult";
[2026-02-26T22:39:42.428Z]
[2026-02-26T22:39:42.428Z] TEST SETUP:
[2026-02-26T22:39:42.428Z] Nothing to be done for setup.
[2026-02-26T22:39:42.428Z]
[2026-02-26T22:39:42.428Z] TESTING:
[2026-02-26T22:39:42.780Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-26T22:39:42.780Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17721451584984/renaissance-movie-lens_0/launcher-173942-7238471223290948012/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-26T22:39:42.780Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-26T22:39:42.780Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-26T22:39:46.749Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-26T22:39:49.880Z] 17:39:49.624 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-26T22:39:51.219Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-26T22:39:51.219Z] Training: 60056, validation: 20285, test: 19854
[2026-02-26T22:39:51.219Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-26T22:39:51.219Z] GC before operation: completed in 54.400 ms, heap usage 198.707 MB -> 76.061 MB.
[2026-02-26T22:39:54.381Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:39:56.244Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:39:58.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:40:00.459Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:40:01.292Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:40:02.578Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:40:03.846Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:40:04.646Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:40:05.031Z] 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.
[2026-02-26T22:40:05.031Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:40:05.031Z] Top recommended movies for user id 72:
[2026-02-26T22:40:05.031Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:40:05.031Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:40:05.031Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:40:05.031Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:40:05.031Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:40:05.031Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (13857.165 ms) ======
[2026-02-26T22:40:05.031Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-26T22:40:05.031Z] GC before operation: completed in 58.595 ms, heap usage 204.063 MB -> 86.655 MB.
[2026-02-26T22:40:06.865Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:40:08.705Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:40:10.598Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:40:12.411Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:40:13.195Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:40:14.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:40:15.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:40:16.582Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:40:16.582Z] 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.
[2026-02-26T22:40:16.582Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:40:16.582Z] Top recommended movies for user id 72:
[2026-02-26T22:40:16.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:40:16.582Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:40:16.582Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:40:16.582Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:40:16.582Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:40:16.582Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (11448.485 ms) ======
[2026-02-26T22:40:16.582Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-26T22:40:16.582Z] GC before operation: completed in 82.008 ms, heap usage 147.044 MB -> 88.579 MB.
[2026-02-26T22:40:18.450Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:40:19.696Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:40:21.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:40:23.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:40:24.101Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:40:25.387Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:40:26.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:40:27.413Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:40:27.413Z] 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.
[2026-02-26T22:40:27.413Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:40:27.413Z] Top recommended movies for user id 72:
[2026-02-26T22:40:27.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:40:27.413Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:40:27.413Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:40:27.413Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:40:27.413Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:40:27.413Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10894.274 ms) ======
[2026-02-26T22:40:27.413Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-26T22:40:27.765Z] GC before operation: completed in 74.814 ms, heap usage 425.102 MB -> 89.737 MB.
[2026-02-26T22:40:29.564Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:40:31.325Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:40:32.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:40:34.377Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:40:35.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:40:36.907Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:40:37.679Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:40:38.912Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:40:38.912Z] 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.
[2026-02-26T22:40:38.912Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:40:38.912Z] Top recommended movies for user id 72:
[2026-02-26T22:40:38.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:40:38.912Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:40:38.912Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:40:38.912Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:40:38.912Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:40:38.912Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (11314.192 ms) ======
[2026-02-26T22:40:38.912Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-26T22:40:38.912Z] GC before operation: completed in 66.836 ms, heap usage 484.912 MB -> 90.126 MB.
[2026-02-26T22:40:40.665Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:40:42.440Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:40:44.238Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:40:46.012Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:40:47.238Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:40:48.024Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:40:49.248Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:40:50.491Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:40:50.491Z] 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.
[2026-02-26T22:40:50.491Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:40:50.491Z] Top recommended movies for user id 72:
[2026-02-26T22:40:50.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:40:50.491Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:40:50.491Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:40:50.491Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:40:50.491Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:40:50.491Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (11439.926 ms) ======
[2026-02-26T22:40:50.491Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-26T22:40:50.491Z] GC before operation: completed in 71.321 ms, heap usage 463.653 MB -> 90.116 MB.
[2026-02-26T22:40:52.270Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:40:54.041Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:40:55.799Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:40:57.611Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:40:58.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:40:59.178Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:41:00.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:41:01.214Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:41:01.215Z] 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.
[2026-02-26T22:41:01.215Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:41:01.573Z] Top recommended movies for user id 72:
[2026-02-26T22:41:01.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:41:01.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:41:01.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:41:01.573Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:41:01.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:41:01.573Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10941.195 ms) ======
[2026-02-26T22:41:01.573Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-26T22:41:01.573Z] GC before operation: completed in 70.405 ms, heap usage 257.997 MB -> 90.202 MB.
[2026-02-26T22:41:03.328Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:41:05.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:41:06.360Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:41:08.129Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:41:08.897Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:41:10.135Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:41:10.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:41:11.709Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:41:12.064Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T22:41:12.064Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:41:12.064Z] Top recommended movies for user id 72:
[2026-02-26T22:41:12.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:41:12.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:41:12.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:41:12.064Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:41:12.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:41:12.064Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (10582.410 ms) ======
[2026-02-26T22:41:12.064Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-26T22:41:12.064Z] GC before operation: completed in 77.292 ms, heap usage 201.279 MB -> 90.056 MB.
[2026-02-26T22:41:14.489Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:41:16.297Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:41:17.532Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:41:19.309Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:41:20.073Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:41:21.319Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:41:22.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:41:23.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:41:23.317Z] 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.
[2026-02-26T22:41:23.317Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:41:23.674Z] Top recommended movies for user id 72:
[2026-02-26T22:41:23.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:41:23.674Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:41:23.674Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:41:23.674Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:41:23.674Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:41:23.674Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (11303.086 ms) ======
[2026-02-26T22:41:23.674Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-26T22:41:23.674Z] GC before operation: completed in 60.085 ms, heap usage 358.073 MB -> 90.505 MB.
[2026-02-26T22:41:25.448Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:41:26.703Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:41:27.460Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:41:28.690Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:41:29.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:41:30.691Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:41:31.490Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:41:32.721Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:41:32.721Z] 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.
[2026-02-26T22:41:32.721Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:41:32.721Z] Top recommended movies for user id 72:
[2026-02-26T22:41:32.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:41:32.721Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:41:32.721Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:41:32.721Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:41:32.721Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:41:32.721Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (9269.356 ms) ======
[2026-02-26T22:41:32.721Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-26T22:41:32.721Z] GC before operation: completed in 62.616 ms, heap usage 244.047 MB -> 90.226 MB.
[2026-02-26T22:41:34.517Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:41:36.291Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:41:38.090Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:41:39.321Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:41:40.561Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:41:41.794Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:41:42.574Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:41:43.840Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:41:43.840Z] 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.
[2026-02-26T22:41:43.840Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:41:43.840Z] Top recommended movies for user id 72:
[2026-02-26T22:41:43.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:41:43.840Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:41:43.840Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:41:43.840Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:41:43.840Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:41:43.840Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11069.193 ms) ======
[2026-02-26T22:41:43.840Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-26T22:41:44.199Z] GC before operation: completed in 82.544 ms, heap usage 191.292 MB -> 90.393 MB.
[2026-02-26T22:41:45.981Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:41:47.262Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:41:49.075Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:41:50.932Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:41:51.711Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:41:52.989Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:41:54.234Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:41:54.995Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:41:54.995Z] 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.
[2026-02-26T22:41:55.345Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:41:55.345Z] Top recommended movies for user id 72:
[2026-02-26T22:41:55.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:41:55.345Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:41:55.345Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:41:55.345Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:41:55.345Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:41:55.345Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11225.303 ms) ======
[2026-02-26T22:41:55.345Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-26T22:41:55.345Z] GC before operation: completed in 63.051 ms, heap usage 274.059 MB -> 90.218 MB.
[2026-02-26T22:41:57.105Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:41:58.913Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:42:00.267Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:42:02.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:42:02.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:42:04.072Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:42:04.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:42:06.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:42:06.090Z] 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.
[2026-02-26T22:42:06.090Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:42:06.090Z] Top recommended movies for user id 72:
[2026-02-26T22:42:06.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:42:06.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:42:06.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:42:06.090Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:42:06.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:42:06.090Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10858.417 ms) ======
[2026-02-26T22:42:06.090Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-26T22:42:06.442Z] GC before operation: completed in 81.437 ms, heap usage 127.924 MB -> 90.137 MB.
[2026-02-26T22:42:08.218Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:42:10.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:42:11.872Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:42:13.679Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:42:14.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:42:15.702Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:42:16.934Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:42:17.712Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:42:18.094Z] 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.
[2026-02-26T22:42:18.094Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:42:18.094Z] Top recommended movies for user id 72:
[2026-02-26T22:42:18.094Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:42:18.094Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:42:18.094Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:42:18.094Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:42:18.094Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:42:18.094Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11786.890 ms) ======
[2026-02-26T22:42:18.094Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-26T22:42:18.094Z] GC before operation: completed in 63.984 ms, heap usage 359.431 MB -> 90.556 MB.
[2026-02-26T22:42:19.852Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:42:21.643Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:42:23.410Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:42:25.163Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:42:25.925Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:42:27.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:42:27.995Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:42:29.315Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:42:29.315Z] 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.
[2026-02-26T22:42:29.315Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:42:29.315Z] Top recommended movies for user id 72:
[2026-02-26T22:42:29.315Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:42:29.315Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:42:29.315Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:42:29.315Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:42:29.315Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:42:29.315Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11350.332 ms) ======
[2026-02-26T22:42:29.315Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-26T22:42:29.671Z] GC before operation: completed in 79.178 ms, heap usage 147.700 MB -> 90.121 MB.
[2026-02-26T22:42:31.449Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:42:32.698Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:42:34.496Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:42:36.293Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:42:37.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:42:38.302Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:42:39.574Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:42:40.818Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:42:40.818Z] 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.
[2026-02-26T22:42:40.818Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:42:40.818Z] Top recommended movies for user id 72:
[2026-02-26T22:42:40.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:42:40.818Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:42:40.818Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:42:40.818Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:42:40.818Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:42:40.818Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11258.505 ms) ======
[2026-02-26T22:42:40.818Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-26T22:42:40.818Z] GC before operation: completed in 80.031 ms, heap usage 417.335 MB -> 90.737 MB.
[2026-02-26T22:42:43.284Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:42:44.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:42:46.303Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:42:48.067Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:42:49.287Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:42:50.079Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:42:51.310Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:42:52.552Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:42:52.552Z] 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.
[2026-02-26T22:42:52.552Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:42:52.552Z] Top recommended movies for user id 72:
[2026-02-26T22:42:52.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:42:52.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:42:52.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:42:52.552Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:42:52.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:42:52.552Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11809.540 ms) ======
[2026-02-26T22:42:52.552Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-26T22:42:52.903Z] GC before operation: completed in 70.851 ms, heap usage 163.949 MB -> 92.006 MB.
[2026-02-26T22:42:54.673Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:42:56.439Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:42:58.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:42:59.975Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:43:00.765Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:43:02.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:43:02.810Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:43:04.081Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:43:04.081Z] 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.
[2026-02-26T22:43:04.081Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:43:04.435Z] Top recommended movies for user id 72:
[2026-02-26T22:43:04.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:43:04.435Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:43:04.435Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:43:04.435Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:43:04.435Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:43:04.435Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11400.433 ms) ======
[2026-02-26T22:43:04.435Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-26T22:43:04.435Z] GC before operation: completed in 74.332 ms, heap usage 310.687 MB -> 90.553 MB.
[2026-02-26T22:43:06.223Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:43:08.033Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:43:09.867Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:43:11.107Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:43:12.355Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:43:13.116Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:43:14.348Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:43:15.586Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:43:15.586Z] 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.
[2026-02-26T22:43:15.586Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:43:15.586Z] Top recommended movies for user id 72:
[2026-02-26T22:43:15.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:43:15.586Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:43:15.586Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:43:15.586Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:43:15.586Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:43:15.586Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11408.599 ms) ======
[2026-02-26T22:43:15.586Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-26T22:43:15.586Z] GC before operation: completed in 69.602 ms, heap usage 703.984 MB -> 94.137 MB.
[2026-02-26T22:43:17.380Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:43:19.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:43:20.937Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:43:22.710Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:43:23.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:43:24.719Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:43:25.997Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:43:26.791Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:43:26.791Z] 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.
[2026-02-26T22:43:26.791Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:43:27.167Z] Top recommended movies for user id 72:
[2026-02-26T22:43:27.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:43:27.167Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:43:27.167Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:43:27.167Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:43:27.167Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:43:27.167Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11336.181 ms) ======
[2026-02-26T22:43:27.167Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-26T22:43:27.167Z] GC before operation: completed in 73.815 ms, heap usage 190.145 MB -> 90.295 MB.
[2026-02-26T22:43:28.954Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T22:43:30.726Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T22:43:31.967Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T22:43:33.753Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T22:43:34.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T22:43:35.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T22:43:37.010Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T22:43:38.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T22:43:38.238Z] 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.
[2026-02-26T22:43:38.238Z] The best model improves the baseline by 14.52%.
[2026-02-26T22:43:38.238Z] Top recommended movies for user id 72:
[2026-02-26T22:43:38.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T22:43:38.238Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T22:43:38.238Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T22:43:38.238Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T22:43:38.238Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T22:43:38.238Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11250.376 ms) ======
[2026-02-26T22:43:39.007Z] -----------------------------------
[2026-02-26T22:43:39.007Z] renaissance-movie-lens_0_PASSED
[2026-02-26T22:43:39.007Z] -----------------------------------
[2026-02-26T22:43:39.007Z]
[2026-02-26T22:43:39.007Z] TEST TEARDOWN:
[2026-02-26T22:43:39.007Z] Nothing to be done for teardown.
[2026-02-26T22:43:39.007Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 17:43:38 2026 Epoch Time (ms): 1772145818849