renaissance-movie-lens_0
[2026-01-17T13:30:04.484Z] Running test renaissance-movie-lens_0 ...
[2026-01-17T13:30:04.484Z] ===============================================
[2026-01-17T13:30:04.484Z] renaissance-movie-lens_0 Start Time: Sat Jan 17 13:30:04 2026 Epoch Time (ms): 1768656604335
[2026-01-17T13:30:04.484Z] variation: NoOptions
[2026-01-17T13:30:04.484Z] JVM_OPTIONS:
[2026-01-17T13:30:04.484Z] { \
[2026-01-17T13:30:04.484Z] echo ""; echo "TEST SETUP:"; \
[2026-01-17T13:30:04.484Z] echo "Nothing to be done for setup."; \
[2026-01-17T13:30:04.484Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17686554569617/renaissance-movie-lens_0"; \
[2026-01-17T13:30:04.484Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17686554569617/renaissance-movie-lens_0"; \
[2026-01-17T13:30:04.484Z] echo ""; echo "TESTING:"; \
[2026-01-17T13:30:04.484Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17686554569617/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-17T13:30:04.484Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17686554569617/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-17T13:30:04.484Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-17T13:30:04.484Z] echo "Nothing to be done for teardown."; \
[2026-01-17T13:30:04.484Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17686554569617/TestTargetResult";
[2026-01-17T13:30:04.484Z]
[2026-01-17T13:30:04.484Z] TEST SETUP:
[2026-01-17T13:30:04.484Z] Nothing to be done for setup.
[2026-01-17T13:30:04.484Z]
[2026-01-17T13:30:04.484Z] TESTING:
[2026-01-17T13:30:05.161Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-17T13:30:05.161Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17686554569617/renaissance-movie-lens_0/launcher-133004-586303694693469719/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-17T13:30:05.161Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-17T13:30:05.161Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-17T13:30:09.798Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads.
[2026-01-17T13:30:18.519Z] 13:30:17.111 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-17T13:30:20.125Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-17T13:30:20.804Z] Training: 60056, validation: 20285, test: 19854
[2026-01-17T13:30:20.804Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-17T13:30:21.120Z] GC before operation: completed in 126.014 ms, heap usage 209.186 MB -> 75.323 MB.
[2026-01-17T13:30:28.256Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:30:32.908Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:30:36.596Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:30:39.465Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:30:41.651Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:30:43.254Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:30:45.438Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:30:47.073Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:30:47.387Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:30:47.387Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:30:47.706Z] Top recommended movies for user id 72:
[2026-01-17T13:30:47.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:30:47.706Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:30:47.706Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:30:47.706Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:30:47.706Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:30:47.706Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26591.131 ms) ======
[2026-01-17T13:30:47.706Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-17T13:30:47.706Z] GC before operation: completed in 151.997 ms, heap usage 241.944 MB -> 87.501 MB.
[2026-01-17T13:30:50.581Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:30:53.449Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:30:55.640Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:30:57.823Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:30:59.435Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:31:01.033Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:31:02.139Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:31:03.747Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:31:04.066Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:31:04.066Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:31:04.382Z] Top recommended movies for user id 72:
[2026-01-17T13:31:04.383Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:31:04.383Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:31:04.383Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:31:04.383Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:31:04.383Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:31:04.383Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16549.120 ms) ======
[2026-01-17T13:31:04.383Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-17T13:31:04.383Z] GC before operation: completed in 140.552 ms, heap usage 110.018 MB -> 88.788 MB.
[2026-01-17T13:31:07.256Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:31:09.443Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:31:12.310Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:31:13.950Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:31:15.548Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:31:16.656Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:31:18.846Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:31:19.950Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:31:20.268Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:31:20.268Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:31:20.586Z] Top recommended movies for user id 72:
[2026-01-17T13:31:20.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:31:20.586Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:31:20.586Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:31:20.586Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:31:20.586Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:31:20.586Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16013.838 ms) ======
[2026-01-17T13:31:20.586Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-17T13:31:20.586Z] GC before operation: completed in 152.855 ms, heap usage 690.120 MB -> 92.490 MB.
[2026-01-17T13:31:22.766Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:31:25.047Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:31:27.914Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:31:29.515Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:31:31.118Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:31:32.222Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:31:33.826Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:31:34.934Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:31:35.248Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:31:35.248Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:31:35.565Z] Top recommended movies for user id 72:
[2026-01-17T13:31:35.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:31:35.565Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:31:35.565Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:31:35.565Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:31:35.565Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:31:35.565Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14894.631 ms) ======
[2026-01-17T13:31:35.565Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-17T13:31:35.565Z] GC before operation: completed in 137.563 ms, heap usage 225.842 MB -> 88.380 MB.
[2026-01-17T13:31:37.749Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:31:40.620Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:31:42.802Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:31:44.392Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:31:45.989Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:31:47.089Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:31:48.689Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:31:49.796Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:31:50.110Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:31:50.110Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:31:50.110Z] Top recommended movies for user id 72:
[2026-01-17T13:31:50.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:31:50.110Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:31:50.110Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:31:50.110Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:31:50.110Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:31:50.110Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14570.967 ms) ======
[2026-01-17T13:31:50.110Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-17T13:31:50.425Z] GC before operation: completed in 150.439 ms, heap usage 386.570 MB -> 88.707 MB.
[2026-01-17T13:31:52.604Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:31:54.784Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:31:56.963Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:31:59.154Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:32:00.811Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:32:01.922Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:32:03.537Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:32:04.650Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:32:04.650Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:32:04.969Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:32:04.969Z] Top recommended movies for user id 72:
[2026-01-17T13:32:04.969Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:32:04.969Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:32:04.969Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:32:04.969Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:32:04.969Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:32:04.969Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14606.218 ms) ======
[2026-01-17T13:32:04.969Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-17T13:32:04.969Z] GC before operation: completed in 128.028 ms, heap usage 356.161 MB -> 88.928 MB.
[2026-01-17T13:32:07.169Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:32:09.380Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:32:11.585Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:32:13.803Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:32:15.419Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:32:16.561Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:32:17.659Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:32:19.257Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:32:19.574Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:32:19.574Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:32:19.574Z] Top recommended movies for user id 72:
[2026-01-17T13:32:19.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:32:19.574Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:32:19.574Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:32:19.574Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:32:19.574Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:32:19.574Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14635.778 ms) ======
[2026-01-17T13:32:19.574Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-17T13:32:19.889Z] GC before operation: completed in 127.632 ms, heap usage 165.101 MB -> 88.631 MB.
[2026-01-17T13:32:22.074Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:32:24.262Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:32:26.448Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:32:28.625Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:32:29.730Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:32:30.837Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:32:32.442Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:32:33.544Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:32:33.859Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:32:33.859Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:32:33.859Z] Top recommended movies for user id 72:
[2026-01-17T13:32:33.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:32:33.859Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:32:33.859Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:32:33.859Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:32:33.859Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:32:33.859Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14077.133 ms) ======
[2026-01-17T13:32:33.859Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-17T13:32:34.173Z] GC before operation: completed in 131.290 ms, heap usage 429.513 MB -> 89.283 MB.
[2026-01-17T13:32:36.354Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:32:38.591Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:32:40.767Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:32:42.960Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:32:44.060Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:32:45.167Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:32:46.771Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:32:47.874Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:32:48.190Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:32:48.190Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:32:48.190Z] Top recommended movies for user id 72:
[2026-01-17T13:32:48.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:32:48.190Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:32:48.190Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:32:48.190Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:32:48.190Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:32:48.190Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14185.794 ms) ======
[2026-01-17T13:32:48.190Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-17T13:32:48.507Z] GC before operation: completed in 126.638 ms, heap usage 307.202 MB -> 88.880 MB.
[2026-01-17T13:32:50.699Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:32:52.887Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:32:55.068Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:32:56.672Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:32:57.803Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:32:58.906Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:33:00.511Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:33:01.614Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:33:01.614Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:33:01.933Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:33:01.933Z] Top recommended movies for user id 72:
[2026-01-17T13:33:01.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:33:01.933Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:33:01.933Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:33:01.933Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:33:01.933Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:33:01.933Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13536.760 ms) ======
[2026-01-17T13:33:01.933Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-17T13:33:01.933Z] GC before operation: completed in 125.597 ms, heap usage 241.925 MB -> 89.030 MB.
[2026-01-17T13:33:04.116Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:33:06.300Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:33:08.473Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:33:10.648Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:33:11.745Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:33:13.414Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:33:14.517Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:33:15.615Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:33:15.929Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:33:15.929Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:33:16.244Z] Top recommended movies for user id 72:
[2026-01-17T13:33:16.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:33:16.244Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:33:16.244Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:33:16.244Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:33:16.244Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:33:16.244Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14125.002 ms) ======
[2026-01-17T13:33:16.244Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-17T13:33:16.244Z] GC before operation: completed in 118.590 ms, heap usage 142.794 MB -> 88.599 MB.
[2026-01-17T13:33:18.525Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:33:20.125Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:33:22.303Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:33:24.479Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:33:25.574Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:33:26.674Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:33:28.270Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:33:29.377Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:33:29.377Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:33:29.377Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:33:29.377Z] Top recommended movies for user id 72:
[2026-01-17T13:33:29.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:33:29.377Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:33:29.377Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:33:29.377Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:33:29.377Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:33:29.377Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13182.399 ms) ======
[2026-01-17T13:33:29.377Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-17T13:33:29.693Z] GC before operation: completed in 132.764 ms, heap usage 619.863 MB -> 92.805 MB.
[2026-01-17T13:33:31.867Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:33:33.458Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:33:35.633Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:33:37.809Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:33:38.976Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:33:40.076Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:33:41.180Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:33:42.773Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:33:43.085Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:33:43.085Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:33:43.085Z] Top recommended movies for user id 72:
[2026-01-17T13:33:43.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:33:43.085Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:33:43.085Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:33:43.085Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:33:43.085Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:33:43.085Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13518.236 ms) ======
[2026-01-17T13:33:43.085Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-17T13:33:43.085Z] GC before operation: completed in 116.942 ms, heap usage 197.441 MB -> 89.008 MB.
[2026-01-17T13:33:45.262Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:33:47.439Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:33:49.619Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:33:51.794Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:33:52.890Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:33:53.993Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:33:55.097Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:33:56.196Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:33:56.510Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:33:56.510Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:33:56.510Z] Top recommended movies for user id 72:
[2026-01-17T13:33:56.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:33:56.510Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:33:56.510Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:33:56.510Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:33:56.510Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:33:56.510Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13422.270 ms) ======
[2026-01-17T13:33:56.510Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-17T13:33:56.832Z] GC before operation: completed in 130.616 ms, heap usage 300.704 MB -> 89.025 MB.
[2026-01-17T13:33:59.081Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:34:01.275Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:34:02.874Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:34:05.049Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:34:06.153Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:34:07.255Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:34:08.354Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:34:09.467Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:34:09.782Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:34:09.782Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:34:09.782Z] Top recommended movies for user id 72:
[2026-01-17T13:34:09.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:34:09.782Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:34:09.782Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:34:09.782Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:34:09.782Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:34:09.782Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13114.428 ms) ======
[2026-01-17T13:34:09.782Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-17T13:34:10.096Z] GC before operation: completed in 151.457 ms, heap usage 400.127 MB -> 89.483 MB.
[2026-01-17T13:34:12.330Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:34:13.923Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:34:16.099Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:34:17.696Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:34:18.869Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:34:20.467Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:34:21.561Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:34:22.665Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:34:22.978Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:34:22.978Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:34:22.978Z] Top recommended movies for user id 72:
[2026-01-17T13:34:22.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:34:22.978Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:34:22.978Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:34:22.978Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:34:22.978Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:34:22.978Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12980.432 ms) ======
[2026-01-17T13:34:22.978Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-17T13:34:23.290Z] GC before operation: completed in 118.921 ms, heap usage 216.079 MB -> 88.954 MB.
[2026-01-17T13:34:25.466Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:34:27.060Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:34:29.231Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:34:31.412Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:34:32.090Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:34:33.681Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:34:34.783Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:34:35.886Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:34:35.886Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:34:36.200Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:34:36.200Z] Top recommended movies for user id 72:
[2026-01-17T13:34:36.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:34:36.200Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:34:36.200Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:34:36.200Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:34:36.200Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:34:36.200Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13056.706 ms) ======
[2026-01-17T13:34:36.200Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-17T13:34:36.200Z] GC before operation: completed in 121.037 ms, heap usage 229.018 MB -> 89.042 MB.
[2026-01-17T13:34:38.451Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:34:40.630Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:34:42.234Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:34:44.420Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:34:45.523Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:34:46.626Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:34:47.724Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:34:49.319Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:34:49.319Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:34:49.319Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:34:49.319Z] Top recommended movies for user id 72:
[2026-01-17T13:34:49.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:34:49.319Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:34:49.319Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:34:49.319Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:34:49.319Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:34:49.319Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13045.067 ms) ======
[2026-01-17T13:34:49.319Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-17T13:34:49.638Z] GC before operation: completed in 123.118 ms, heap usage 202.506 MB -> 88.813 MB.
[2026-01-17T13:34:51.287Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:34:53.461Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:34:55.640Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:34:57.289Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:34:58.410Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:35:00.009Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:35:01.106Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:35:02.210Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:35:02.210Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:35:02.525Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:35:02.525Z] Top recommended movies for user id 72:
[2026-01-17T13:35:02.525Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:35:02.525Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:35:02.525Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:35:02.525Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:35:02.525Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:35:02.525Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13020.585 ms) ======
[2026-01-17T13:35:02.525Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-17T13:35:02.525Z] GC before operation: completed in 119.892 ms, heap usage 215.728 MB -> 89.002 MB.
[2026-01-17T13:35:04.697Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:35:06.878Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:35:08.470Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:35:10.646Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:35:11.742Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:35:12.842Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:35:13.941Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:35:15.041Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:35:15.352Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2026-01-17T13:35:15.352Z] The best model improves the baseline by 14.34%.
[2026-01-17T13:35:15.352Z] Top recommended movies for user id 72:
[2026-01-17T13:35:15.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2026-01-17T13:35:15.352Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2026-01-17T13:35:15.352Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2026-01-17T13:35:15.352Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2026-01-17T13:35:15.352Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2026-01-17T13:35:15.352Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12855.413 ms) ======
[2026-01-17T13:35:16.040Z] -----------------------------------
[2026-01-17T13:35:16.040Z] renaissance-movie-lens_0_PASSED
[2026-01-17T13:35:16.040Z] -----------------------------------
[2026-01-17T13:35:16.040Z]
[2026-01-17T13:35:16.040Z] TEST TEARDOWN:
[2026-01-17T13:35:16.040Z] Nothing to be done for teardown.
[2026-01-17T13:35:16.040Z] renaissance-movie-lens_0 Finish Time: Sat Jan 17 13:35:15 2026 Epoch Time (ms): 1768656915835