renaissance-movie-lens_0
[2026-02-26T15:34:44.695Z] Running test renaissance-movie-lens_0 ...
[2026-02-26T15:34:44.695Z] ===============================================
[2026-02-26T15:34:44.695Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 15:34:44 2026 Epoch Time (ms): 1772120084542
[2026-02-26T15:34:44.695Z] variation: NoOptions
[2026-02-26T15:34:44.695Z] JVM_OPTIONS:
[2026-02-26T15:34:44.695Z] { \
[2026-02-26T15:34:44.695Z] echo ""; echo "TEST SETUP:"; \
[2026-02-26T15:34:44.695Z] echo "Nothing to be done for setup."; \
[2026-02-26T15:34:44.695Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1772119227840/renaissance-movie-lens_0"; \
[2026-02-26T15:34:44.695Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1772119227840/renaissance-movie-lens_0"; \
[2026-02-26T15:34:44.695Z] echo ""; echo "TESTING:"; \
[2026-02-26T15:34:44.695Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_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_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1772119227840/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-26T15:34:44.695Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1772119227840/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-26T15:34:44.695Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-26T15:34:44.695Z] echo "Nothing to be done for teardown."; \
[2026-02-26T15:34:44.695Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1772119227840/TestTargetResult";
[2026-02-26T15:34:44.695Z]
[2026-02-26T15:34:44.695Z] TEST SETUP:
[2026-02-26T15:34:44.695Z] Nothing to be done for setup.
[2026-02-26T15:34:44.695Z]
[2026-02-26T15:34:44.695Z] TESTING:
[2026-02-26T15:34:50.400Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-26T15:34:55.886Z] 15:34:55.577 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-26T15:34:57.837Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-26T15:34:58.784Z] Training: 60056, validation: 20285, test: 19854
[2026-02-26T15:34:58.784Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-26T15:34:58.784Z] GC before operation: completed in 132.272 ms, heap usage 259.595 MB -> 75.721 MB.
[2026-02-26T15:35:04.139Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:35:07.172Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:35:10.170Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:35:12.112Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:35:14.056Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:35:16.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:35:16.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:35:18.931Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:35:18.932Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:35:18.932Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:35:19.880Z] Top recommended movies for user id 72:
[2026-02-26T15:35:19.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:35:19.880Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:35:19.880Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:35:19.880Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:35:19.880Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:35:19.880Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21054.947 ms) ======
[2026-02-26T15:35:19.880Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-26T15:35:19.880Z] GC before operation: completed in 180.019 ms, heap usage 201.018 MB -> 88.648 MB.
[2026-02-26T15:35:22.878Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:35:24.824Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:35:27.824Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:35:30.102Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:35:31.049Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:35:32.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:35:33.941Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:35:35.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:35:35.884Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:35:35.884Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:35:35.884Z] Top recommended movies for user id 72:
[2026-02-26T15:35:35.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:35:35.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:35:35.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:35:35.884Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:35:35.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:35:35.884Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16469.360 ms) ======
[2026-02-26T15:35:35.884Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-26T15:35:36.830Z] GC before operation: completed in 199.750 ms, heap usage 477.715 MB -> 88.962 MB.
[2026-02-26T15:35:38.773Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:35:41.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:35:43.567Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:35:46.572Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:35:47.519Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:35:49.513Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:35:50.458Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:35:52.410Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:35:52.410Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:35:52.410Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:35:52.410Z] Top recommended movies for user id 72:
[2026-02-26T15:35:52.410Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:35:52.410Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:35:52.410Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:35:52.410Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:35:52.410Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:35:52.410Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16277.604 ms) ======
[2026-02-26T15:35:52.410Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-26T15:35:52.410Z] GC before operation: completed in 119.833 ms, heap usage 352.456 MB -> 89.416 MB.
[2026-02-26T15:35:55.553Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:35:57.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:36:00.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:36:02.450Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:36:04.408Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:36:05.353Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:36:07.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:36:08.276Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:36:09.224Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:36:09.224Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:36:09.224Z] Top recommended movies for user id 72:
[2026-02-26T15:36:09.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:36:09.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:36:09.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:36:09.224Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:36:09.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:36:09.224Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16365.114 ms) ======
[2026-02-26T15:36:09.224Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-26T15:36:09.224Z] GC before operation: completed in 112.670 ms, heap usage 312.648 MB -> 89.767 MB.
[2026-02-26T15:36:11.174Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:36:14.172Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:36:16.120Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:36:18.100Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:36:20.043Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:36:21.987Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:36:22.934Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:36:24.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:36:24.884Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:36:24.884Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:36:24.884Z] Top recommended movies for user id 72:
[2026-02-26T15:36:24.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:36:24.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:36:24.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:36:24.884Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:36:24.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:36:24.884Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15729.550 ms) ======
[2026-02-26T15:36:24.884Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-26T15:36:24.884Z] GC before operation: completed in 123.210 ms, heap usage 405.932 MB -> 89.733 MB.
[2026-02-26T15:36:27.884Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:36:29.825Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:36:31.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:36:34.764Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:36:35.717Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:36:37.844Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:36:39.303Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:36:40.253Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:36:40.253Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:36:40.253Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:36:40.253Z] Top recommended movies for user id 72:
[2026-02-26T15:36:40.253Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:36:40.253Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:36:40.253Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:36:40.253Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:36:40.253Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:36:40.253Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15561.414 ms) ======
[2026-02-26T15:36:40.253Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-26T15:36:41.200Z] GC before operation: completed in 130.880 ms, heap usage 285.518 MB -> 90.097 MB.
[2026-02-26T15:36:43.152Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:36:45.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:36:47.051Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:36:48.994Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:36:50.948Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:36:51.907Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:36:52.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:36:54.847Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:36:54.847Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:36:54.847Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:36:54.847Z] Top recommended movies for user id 72:
[2026-02-26T15:36:54.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:36:54.847Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:36:54.847Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:36:54.847Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:36:54.847Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:36:54.847Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14189.401 ms) ======
[2026-02-26T15:36:54.847Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-26T15:36:54.847Z] GC before operation: completed in 116.972 ms, heap usage 186.440 MB -> 89.770 MB.
[2026-02-26T15:36:56.796Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:36:59.795Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:37:01.738Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:37:03.681Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:37:05.622Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:37:06.567Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:37:08.508Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:37:09.453Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:37:10.402Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:37:10.402Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:37:10.402Z] Top recommended movies for user id 72:
[2026-02-26T15:37:10.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:37:10.402Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:37:10.402Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:37:10.402Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:37:10.402Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:37:10.402Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15025.635 ms) ======
[2026-02-26T15:37:10.402Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-26T15:37:10.402Z] GC before operation: completed in 132.384 ms, heap usage 284.443 MB -> 90.200 MB.
[2026-02-26T15:37:12.351Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:37:15.356Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:37:17.300Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:37:19.242Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:37:21.186Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:37:22.132Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:37:24.090Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:37:25.038Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:37:25.038Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:37:25.038Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:37:25.985Z] Top recommended movies for user id 72:
[2026-02-26T15:37:25.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:37:25.985Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:37:25.985Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:37:25.985Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:37:25.985Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:37:25.985Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15264.937 ms) ======
[2026-02-26T15:37:25.985Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-26T15:37:25.985Z] GC before operation: completed in 137.521 ms, heap usage 289.213 MB -> 89.987 MB.
[2026-02-26T15:37:27.932Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:37:29.876Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:37:33.572Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:37:34.518Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:37:35.470Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:37:37.412Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:37:38.360Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:37:40.303Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:37:40.303Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:37:40.303Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:37:40.303Z] Top recommended movies for user id 72:
[2026-02-26T15:37:40.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:37:40.303Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:37:40.303Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:37:40.303Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:37:40.303Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:37:40.303Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14557.174 ms) ======
[2026-02-26T15:37:40.303Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-26T15:37:40.303Z] GC before operation: completed in 148.463 ms, heap usage 423.336 MB -> 90.429 MB.
[2026-02-26T15:37:42.269Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:37:44.212Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:37:47.210Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:37:49.153Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:37:50.099Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:37:51.045Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:37:52.990Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:37:53.938Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:37:53.938Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:37:53.938Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:37:54.888Z] Top recommended movies for user id 72:
[2026-02-26T15:37:54.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:37:54.888Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:37:54.888Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:37:54.888Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:37:54.888Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:37:54.888Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14154.524 ms) ======
[2026-02-26T15:37:54.888Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-26T15:37:54.888Z] GC before operation: completed in 136.516 ms, heap usage 192.142 MB -> 89.786 MB.
[2026-02-26T15:37:56.832Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:37:58.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:38:00.718Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:38:02.690Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:38:04.634Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:38:05.579Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:38:07.523Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:38:08.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:38:08.505Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:38:08.505Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:38:09.451Z] Top recommended movies for user id 72:
[2026-02-26T15:38:09.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:38:09.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:38:09.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:38:09.451Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:38:09.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:38:09.451Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14268.613 ms) ======
[2026-02-26T15:38:09.451Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-26T15:38:09.451Z] GC before operation: completed in 143.595 ms, heap usage 427.873 MB -> 90.382 MB.
[2026-02-26T15:38:11.396Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:38:13.340Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:38:15.285Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:38:17.228Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:38:19.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:38:20.119Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:38:22.065Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:38:23.011Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:38:23.011Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:38:23.011Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:38:23.011Z] Top recommended movies for user id 72:
[2026-02-26T15:38:23.011Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:38:23.011Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:38:23.011Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:38:23.011Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:38:23.011Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:38:23.011Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14331.892 ms) ======
[2026-02-26T15:38:23.011Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-26T15:38:23.956Z] GC before operation: completed in 139.941 ms, heap usage 291.145 MB -> 90.237 MB.
[2026-02-26T15:38:25.898Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:38:28.544Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:38:30.487Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:38:32.434Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:38:34.375Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:38:35.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:38:36.266Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:38:38.207Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:38:38.207Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:38:38.207Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:38:38.207Z] Top recommended movies for user id 72:
[2026-02-26T15:38:38.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:38:38.207Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:38:38.207Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:38:38.207Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:38:38.207Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:38:38.207Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14837.320 ms) ======
[2026-02-26T15:38:38.207Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-26T15:38:38.207Z] GC before operation: completed in 137.234 ms, heap usage 409.494 MB -> 90.274 MB.
[2026-02-26T15:38:41.204Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:38:43.146Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:38:45.089Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:38:48.092Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:38:49.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:38:50.984Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:38:51.932Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:38:53.875Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:38:53.875Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:38:53.875Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:38:53.875Z] Top recommended movies for user id 72:
[2026-02-26T15:38:53.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:38:53.875Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:38:53.875Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:38:53.875Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:38:53.875Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:38:53.875Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15315.761 ms) ======
[2026-02-26T15:38:53.875Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-26T15:38:53.875Z] GC before operation: completed in 132.384 ms, heap usage 338.413 MB -> 90.265 MB.
[2026-02-26T15:38:55.865Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:38:58.881Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:39:00.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:39:04.406Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:39:04.407Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:39:06.352Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:39:07.321Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:39:09.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:39:09.263Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:39:09.263Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:39:09.263Z] Top recommended movies for user id 72:
[2026-02-26T15:39:09.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:39:09.263Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:39:09.263Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:39:09.263Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:39:09.263Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:39:09.263Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15355.640 ms) ======
[2026-02-26T15:39:09.263Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-26T15:39:09.263Z] GC before operation: completed in 143.686 ms, heap usage 405.047 MB -> 90.285 MB.
[2026-02-26T15:39:12.262Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:39:14.203Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:39:16.144Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:39:18.083Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:39:19.028Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:39:21.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:39:21.952Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:39:22.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:39:23.907Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:39:23.907Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:39:23.907Z] Top recommended movies for user id 72:
[2026-02-26T15:39:23.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:39:23.907Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:39:23.907Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:39:23.907Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:39:23.907Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:39:23.907Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14201.305 ms) ======
[2026-02-26T15:39:23.907Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-26T15:39:23.907Z] GC before operation: completed in 135.378 ms, heap usage 733.703 MB -> 94.018 MB.
[2026-02-26T15:39:25.554Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:39:28.554Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:39:30.495Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:39:32.435Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:39:33.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:39:34.329Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:39:36.272Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:39:37.217Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:39:37.217Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:39:37.217Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:39:38.166Z] Top recommended movies for user id 72:
[2026-02-26T15:39:38.166Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:39:38.166Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:39:38.166Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:39:38.166Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:39:38.166Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:39:38.166Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13900.199 ms) ======
[2026-02-26T15:39:38.166Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-26T15:39:38.166Z] GC before operation: completed in 122.737 ms, heap usage 204.057 MB -> 89.950 MB.
[2026-02-26T15:39:40.107Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:39:42.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:39:43.995Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:39:46.995Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:39:47.943Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:39:48.890Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:39:50.831Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:39:51.776Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:39:52.722Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:39:52.722Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:39:52.722Z] Top recommended movies for user id 72:
[2026-02-26T15:39:52.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:39:52.722Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:39:52.722Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:39:52.722Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:39:52.722Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:39:52.722Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14785.856 ms) ======
[2026-02-26T15:39:52.722Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-26T15:39:52.722Z] GC before operation: completed in 117.181 ms, heap usage 150.895 MB -> 89.860 MB.
[2026-02-26T15:39:54.839Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T15:39:56.779Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T15:39:59.778Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T15:40:01.741Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T15:40:02.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T15:40:04.629Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T15:40:05.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T15:40:07.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T15:40:07.523Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-26T15:40:07.523Z] The best model improves the baseline by 14.52%.
[2026-02-26T15:40:07.523Z] Top recommended movies for user id 72:
[2026-02-26T15:40:07.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-26T15:40:07.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-26T15:40:07.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-26T15:40:07.523Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-26T15:40:07.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-26T15:40:07.523Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15097.535 ms) ======
[2026-02-26T15:40:08.470Z] -----------------------------------
[2026-02-26T15:40:08.470Z] renaissance-movie-lens_0_PASSED
[2026-02-26T15:40:08.470Z] -----------------------------------
[2026-02-26T15:40:08.470Z]
[2026-02-26T15:40:08.470Z] TEST TEARDOWN:
[2026-02-26T15:40:08.470Z] Nothing to be done for teardown.
[2026-02-26T15:40:08.470Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 15:40:07 2026 Epoch Time (ms): 1772120407902