renaissance-movie-lens_0
[2026-04-21T22:43:31.811Z] Running test renaissance-movie-lens_0 ...
[2026-04-21T22:43:31.811Z] ===============================================
[2026-04-21T22:43:31.811Z] renaissance-movie-lens_0 Start Time: Tue Apr 21 22:43:30 2026 Epoch Time (ms): 1776811410582
[2026-04-21T22:43:31.811Z] variation: NoOptions
[2026-04-21T22:43:31.811Z] JVM_OPTIONS:
[2026-04-21T22:43:31.811Z] { \
[2026-04-21T22:43:31.811Z] echo ""; echo "TEST SETUP:"; \
[2026-04-21T22:43:31.811Z] echo "Nothing to be done for setup."; \
[2026-04-21T22:43:31.811Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17768106137468/renaissance-movie-lens_0"; \
[2026-04-21T22:43:31.811Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17768106137468/renaissance-movie-lens_0"; \
[2026-04-21T22:43:31.811Z] echo ""; echo "TESTING:"; \
[2026-04-21T22:43:31.811Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/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_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17768106137468/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-04-21T22:43:31.811Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17768106137468/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-04-21T22:43:31.811Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-04-21T22:43:31.811Z] echo "Nothing to be done for teardown."; \
[2026-04-21T22:43:31.811Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17768106137468/TestTargetResult";
[2026-04-21T22:43:31.811Z]
[2026-04-21T22:43:31.811Z] TEST SETUP:
[2026-04-21T22:43:31.811Z] Nothing to be done for setup.
[2026-04-21T22:43:31.811Z]
[2026-04-21T22:43:31.811Z] TESTING:
[2026-04-21T22:43:38.547Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2026-04-21T22:43:48.616Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-04-21T22:43:49.572Z] Training: 60056, validation: 20285, test: 19854
[2026-04-21T22:43:49.573Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-04-21T22:43:49.573Z] GC before operation: completed in 122.675 ms, heap usage 432.212 MB -> 76.103 MB.
[2026-04-21T22:43:54.991Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:43:59.170Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:44:02.247Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:44:05.286Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:44:07.253Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:44:09.224Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:44:11.188Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:44:13.159Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:44:13.159Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:44:13.159Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:44:13.159Z] Top recommended movies for user id 72:
[2026-04-21T22:44:13.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:44:13.159Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:44:13.159Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:44:13.159Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:44:13.159Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:44:13.159Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23967.859 ms) ======
[2026-04-21T22:44:13.159Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-04-21T22:44:14.118Z] GC before operation: completed in 157.606 ms, heap usage 427.608 MB -> 90.108 MB.
[2026-04-21T22:44:17.152Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:44:20.190Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:44:23.227Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:44:26.257Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:44:28.227Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:44:30.416Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:44:31.386Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:44:33.352Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:44:33.352Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:44:33.352Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:44:34.311Z] Top recommended movies for user id 72:
[2026-04-21T22:44:34.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:44:34.311Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:44:34.311Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:44:34.311Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:44:34.311Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:44:34.311Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20101.328 ms) ======
[2026-04-21T22:44:34.311Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-04-21T22:44:34.311Z] GC before operation: completed in 157.587 ms, heap usage 1.108 GB -> 98.134 MB.
[2026-04-21T22:44:37.347Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:44:40.381Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:44:43.416Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:44:46.447Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:44:48.432Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:44:49.399Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:44:51.381Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:44:53.378Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:44:53.378Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:44:53.378Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:44:53.378Z] Top recommended movies for user id 72:
[2026-04-21T22:44:53.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:44:53.378Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:44:53.378Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:44:53.378Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:44:53.378Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:44:53.378Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19787.808 ms) ======
[2026-04-21T22:44:53.378Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-04-21T22:44:54.334Z] GC before operation: completed in 153.191 ms, heap usage 885.775 MB -> 94.916 MB.
[2026-04-21T22:44:57.376Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:45:00.411Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:45:03.452Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:45:06.488Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:45:07.446Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:45:09.408Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:45:11.672Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:45:12.638Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:45:13.601Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:45:13.601Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:45:13.601Z] Top recommended movies for user id 72:
[2026-04-21T22:45:13.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:45:13.601Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:45:13.601Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:45:13.601Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:45:13.601Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:45:13.601Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19597.716 ms) ======
[2026-04-21T22:45:13.601Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-04-21T22:45:13.601Z] GC before operation: completed in 171.449 ms, heap usage 184.562 MB -> 92.159 MB.
[2026-04-21T22:45:16.813Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:45:19.840Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:45:22.872Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:45:25.906Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:45:27.865Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:45:29.833Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:45:31.802Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:45:33.765Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:45:33.765Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:45:33.765Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:45:33.765Z] Top recommended movies for user id 72:
[2026-04-21T22:45:33.765Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:45:33.765Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:45:33.765Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:45:33.765Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:45:33.765Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:45:33.765Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20049.912 ms) ======
[2026-04-21T22:45:33.765Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-04-21T22:45:33.765Z] GC before operation: completed in 183.028 ms, heap usage 1.278 GB -> 97.882 MB.
[2026-04-21T22:45:36.813Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:45:39.941Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:45:42.971Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:45:46.012Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:45:47.986Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:45:49.956Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:45:51.100Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:45:53.132Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:45:53.132Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:45:53.132Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:45:53.132Z] Top recommended movies for user id 72:
[2026-04-21T22:45:53.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:45:53.132Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:45:53.132Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:45:53.132Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:45:53.132Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:45:53.132Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19572.199 ms) ======
[2026-04-21T22:45:53.132Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-04-21T22:45:54.089Z] GC before operation: completed in 164.751 ms, heap usage 1.308 GB -> 98.102 MB.
[2026-04-21T22:45:56.057Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:45:59.093Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:46:02.147Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:46:05.186Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:46:07.158Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:46:09.166Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:46:11.135Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:46:12.104Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:46:13.066Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:46:13.066Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:46:13.066Z] Top recommended movies for user id 72:
[2026-04-21T22:46:13.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:46:13.066Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:46:13.066Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:46:13.066Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:46:13.066Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:46:13.066Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19094.051 ms) ======
[2026-04-21T22:46:13.066Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-04-21T22:46:13.066Z] GC before operation: completed in 161.555 ms, heap usage 1017.050 MB -> 95.574 MB.
[2026-04-21T22:46:16.115Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:46:19.153Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:46:22.208Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:46:25.242Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:46:26.199Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:46:28.173Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:46:30.149Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:46:31.583Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:46:31.583Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:46:31.583Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:46:32.541Z] Top recommended movies for user id 72:
[2026-04-21T22:46:32.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:46:32.541Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:46:32.541Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:46:32.541Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:46:32.541Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:46:32.541Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18988.066 ms) ======
[2026-04-21T22:46:32.541Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-04-21T22:46:32.541Z] GC before operation: completed in 164.389 ms, heap usage 2.235 GB -> 100.439 MB.
[2026-04-21T22:46:35.576Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:46:38.623Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:46:41.845Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:46:43.814Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:46:45.827Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:46:47.788Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:46:49.753Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:46:51.726Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:46:51.726Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:46:51.726Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:46:51.726Z] Top recommended movies for user id 72:
[2026-04-21T22:46:51.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:46:51.726Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:46:51.726Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:46:51.726Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:46:51.726Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:46:51.726Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19642.142 ms) ======
[2026-04-21T22:46:51.726Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-04-21T22:46:51.726Z] GC before operation: completed in 180.354 ms, heap usage 1.875 GB -> 97.569 MB.
[2026-04-21T22:46:54.771Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:46:57.817Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:47:00.853Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:47:03.887Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:47:05.861Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:47:06.819Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:47:08.792Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:47:10.784Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:47:10.784Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:47:10.784Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:47:10.784Z] Top recommended movies for user id 72:
[2026-04-21T22:47:10.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:47:10.784Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:47:10.784Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:47:10.784Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:47:10.784Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:47:10.784Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19141.665 ms) ======
[2026-04-21T22:47:10.784Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-04-21T22:47:11.931Z] GC before operation: completed in 174.267 ms, heap usage 1.763 GB -> 99.905 MB.
[2026-04-21T22:47:13.898Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:47:16.938Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:47:19.974Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:47:23.018Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:47:24.991Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:47:26.969Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:47:28.951Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:47:29.922Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:47:29.922Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:47:29.922Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:47:30.893Z] Top recommended movies for user id 72:
[2026-04-21T22:47:30.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:47:30.893Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:47:30.893Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:47:30.893Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:47:30.893Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:47:30.893Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19298.990 ms) ======
[2026-04-21T22:47:30.893Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-04-21T22:47:30.893Z] GC before operation: completed in 176.161 ms, heap usage 1.641 GB -> 98.872 MB.
[2026-04-21T22:47:33.932Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:47:36.998Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:47:40.120Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:47:43.154Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:47:44.121Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:47:46.095Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:47:48.080Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:47:50.049Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:47:50.049Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:47:50.049Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:47:50.049Z] Top recommended movies for user id 72:
[2026-04-21T22:47:50.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:47:50.049Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:47:50.049Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:47:50.049Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:47:50.049Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:47:50.049Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19651.278 ms) ======
[2026-04-21T22:47:50.049Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-04-21T22:47:51.359Z] GC before operation: completed in 159.366 ms, heap usage 325.649 MB -> 91.787 MB.
[2026-04-21T22:47:53.334Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:47:56.372Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:47:59.459Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:48:02.499Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:48:04.479Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:48:05.439Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:48:07.410Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:48:09.391Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:48:09.391Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:48:09.391Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:48:09.391Z] Top recommended movies for user id 72:
[2026-04-21T22:48:09.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:48:09.391Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:48:09.391Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:48:09.391Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:48:09.391Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:48:09.391Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19099.370 ms) ======
[2026-04-21T22:48:09.391Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-04-21T22:48:09.391Z] GC before operation: completed in 169.418 ms, heap usage 956.263 MB -> 97.626 MB.
[2026-04-21T22:48:12.432Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:48:15.482Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:48:18.520Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:48:21.568Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:48:23.535Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:48:25.507Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:48:27.490Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:48:29.467Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:48:29.467Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:48:29.467Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:48:29.467Z] Top recommended movies for user id 72:
[2026-04-21T22:48:29.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:48:29.467Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:48:29.467Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:48:29.467Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:48:29.467Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:48:29.467Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19713.016 ms) ======
[2026-04-21T22:48:29.467Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-04-21T22:48:29.467Z] GC before operation: completed in 148.608 ms, heap usage 752.636 MB -> 96.759 MB.
[2026-04-21T22:48:32.729Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:48:35.761Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:48:38.799Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:48:40.932Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:48:42.900Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:48:44.872Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:48:46.843Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:48:47.818Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:48:48.775Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:48:48.775Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:48:48.775Z] Top recommended movies for user id 72:
[2026-04-21T22:48:48.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:48:48.775Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:48:48.775Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:48:48.775Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:48:48.775Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:48:48.775Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18910.699 ms) ======
[2026-04-21T22:48:48.775Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-04-21T22:48:48.775Z] GC before operation: completed in 173.805 ms, heap usage 1.307 GB -> 96.854 MB.
[2026-04-21T22:48:51.817Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:48:54.851Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:48:57.932Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:49:00.988Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:49:02.955Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:49:03.912Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:49:05.887Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:49:07.869Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:49:07.869Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:49:07.869Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:49:07.869Z] Top recommended movies for user id 72:
[2026-04-21T22:49:07.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:49:07.869Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:49:07.869Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:49:07.869Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:49:07.869Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:49:07.869Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19359.145 ms) ======
[2026-04-21T22:49:07.869Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-04-21T22:49:07.869Z] GC before operation: completed in 163.972 ms, heap usage 2.620 GB -> 99.887 MB.
[2026-04-21T22:49:10.908Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:49:14.007Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:49:17.074Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:49:20.138Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:49:22.123Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:49:23.079Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:49:25.072Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:49:27.041Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:49:27.041Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:49:27.041Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:49:28.002Z] Top recommended movies for user id 72:
[2026-04-21T22:49:28.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:49:28.002Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:49:28.002Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:49:28.002Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:49:28.002Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:49:28.003Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19292.053 ms) ======
[2026-04-21T22:49:28.003Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-04-21T22:49:28.003Z] GC before operation: completed in 179.250 ms, heap usage 3.059 GB -> 101.708 MB.
[2026-04-21T22:49:31.084Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:49:33.067Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:49:37.248Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:49:39.216Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:49:41.178Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:49:43.185Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:49:45.161Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:49:46.130Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:49:47.085Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:49:47.085Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:49:47.085Z] Top recommended movies for user id 72:
[2026-04-21T22:49:47.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:49:47.085Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:49:47.085Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:49:47.085Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:49:47.085Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:49:47.085Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19130.832 ms) ======
[2026-04-21T22:49:47.085Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-04-21T22:49:47.085Z] GC before operation: completed in 180.028 ms, heap usage 1.408 GB -> 98.638 MB.
[2026-04-21T22:49:50.165Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:49:53.197Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:49:56.228Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:49:59.345Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:50:00.302Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:50:02.272Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:50:04.248Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:50:05.205Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:50:06.172Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:50:06.172Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:50:06.172Z] Top recommended movies for user id 72:
[2026-04-21T22:50:06.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:50:06.172Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:50:06.172Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:50:06.172Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:50:06.172Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:50:06.172Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19065.062 ms) ======
[2026-04-21T22:50:06.172Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-04-21T22:50:06.172Z] GC before operation: completed in 162.155 ms, heap usage 1.449 GB -> 98.162 MB.
[2026-04-21T22:50:09.201Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:50:12.246Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:50:15.309Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:50:17.449Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:50:19.425Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:50:21.392Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:50:23.375Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:50:24.332Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:50:25.296Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-04-21T22:50:25.296Z] The best model improves the baseline by 14.43%.
[2026-04-21T22:50:25.296Z] Top recommended movies for user id 72:
[2026-04-21T22:50:25.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-04-21T22:50:25.296Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-04-21T22:50:25.296Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-04-21T22:50:25.296Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-04-21T22:50:25.296Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-04-21T22:50:25.296Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18925.728 ms) ======
[2026-04-21T22:50:26.254Z] -----------------------------------
[2026-04-21T22:50:26.254Z] renaissance-movie-lens_0_PASSED
[2026-04-21T22:50:26.254Z] -----------------------------------
[2026-04-21T22:50:26.254Z]
[2026-04-21T22:50:26.254Z] TEST TEARDOWN:
[2026-04-21T22:50:26.254Z] Nothing to be done for teardown.
[2026-04-21T22:50:26.254Z] renaissance-movie-lens_0 Finish Time: Tue Apr 21 22:50:25 2026 Epoch Time (ms): 1776811825253