renaissance-movie-lens_0
[2026-01-15T07:59:52.566Z] Running test renaissance-movie-lens_0 ...
[2026-01-15T07:59:52.566Z] ===============================================
[2026-01-15T07:59:52.566Z] renaissance-movie-lens_0 Start Time: Thu Jan 15 07:59:51 2026 Epoch Time (ms): 1768463991630
[2026-01-15T07:59:52.566Z] variation: NoOptions
[2026-01-15T07:59:52.566Z] JVM_OPTIONS:
[2026-01-15T07:59:52.566Z] { \
[2026-01-15T07:59:52.566Z] echo ""; echo "TEST SETUP:"; \
[2026-01-15T07:59:52.566Z] echo "Nothing to be done for setup."; \
[2026-01-15T07:59:52.566Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17684615562012/renaissance-movie-lens_0"; \
[2026-01-15T07:59:52.566Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17684615562012/renaissance-movie-lens_0"; \
[2026-01-15T07:59:52.566Z] echo ""; echo "TESTING:"; \
[2026-01-15T07:59:52.566Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17684615562012/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-15T07:59:52.566Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17684615562012/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-15T07:59:52.566Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-15T07:59:52.566Z] echo "Nothing to be done for teardown."; \
[2026-01-15T07:59:52.566Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17684615562012/TestTargetResult";
[2026-01-15T07:59:52.566Z]
[2026-01-15T07:59:52.566Z] TEST SETUP:
[2026-01-15T07:59:52.566Z] Nothing to be done for setup.
[2026-01-15T07:59:52.566Z]
[2026-01-15T07:59:52.566Z] TESTING:
[2026-01-15T07:59:54.198Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-15T07:59:54.198Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17684615562012/renaissance-movie-lens_0/launcher-075951-3341475799542028320/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-15T07:59:54.198Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-15T07:59:54.198Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-15T08:00:29.593Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2026-01-15T08:00:45.871Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-15T08:00:46.652Z] Training: 60056, validation: 20285, test: 19854
[2026-01-15T08:00:46.652Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-15T08:00:46.652Z] GC before operation: completed in 129.912 ms, heap usage 615.241 MB -> 75.546 MB.
[2026-01-15T08:00:56.686Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:01:00.160Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:01:04.688Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:01:08.529Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:01:10.399Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:01:12.020Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:01:14.530Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:01:17.207Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:01:17.207Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-15T08:01:17.207Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:01:17.207Z] Top recommended movies for user id 72:
[2026-01-15T08:01:17.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:01:17.207Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:01:17.207Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:01:17.207Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:01:17.207Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:01:17.207Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31030.032 ms) ======
[2026-01-15T08:01:17.207Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-15T08:01:17.987Z] GC before operation: completed in 159.452 ms, heap usage 256.254 MB -> 89.816 MB.
[2026-01-15T08:01:21.467Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:01:24.946Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:01:29.487Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:01:31.991Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:01:33.607Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:01:36.115Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:01:37.781Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:01:40.338Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:01:40.338Z] 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.
[2026-01-15T08:01:40.338Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:01:40.338Z] Top recommended movies for user id 72:
[2026-01-15T08:01:40.338Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:01:40.338Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:01:40.338Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:01:40.338Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:01:40.338Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:01:40.338Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22839.356 ms) ======
[2026-01-15T08:01:40.338Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-15T08:01:40.338Z] GC before operation: completed in 159.152 ms, heap usage 2.478 GB -> 95.894 MB.
[2026-01-15T08:01:43.805Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:01:47.289Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:01:51.820Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:01:54.339Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:01:56.849Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:01:58.464Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:02:02.981Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:02:05.497Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:02:05.497Z] 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.
[2026-01-15T08:02:05.497Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:02:05.497Z] Top recommended movies for user id 72:
[2026-01-15T08:02:05.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:02:05.497Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:02:05.497Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:02:05.497Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:02:05.497Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:02:05.497Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (25172.669 ms) ======
[2026-01-15T08:02:05.497Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-15T08:02:06.279Z] GC before operation: completed in 124.101 ms, heap usage 292.090 MB -> 90.116 MB.
[2026-01-15T08:02:09.527Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:02:12.041Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:02:16.578Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:02:20.076Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:02:21.687Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:02:23.301Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:02:25.804Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:02:27.420Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:02:28.208Z] 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.
[2026-01-15T08:02:28.208Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:02:28.208Z] Top recommended movies for user id 72:
[2026-01-15T08:02:28.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:02:28.208Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:02:28.208Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:02:28.208Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:02:28.208Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:02:28.208Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22199.269 ms) ======
[2026-01-15T08:02:28.208Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-15T08:02:28.208Z] GC before operation: completed in 135.183 ms, heap usage 2.841 GB -> 96.806 MB.
[2026-01-15T08:02:31.769Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:02:34.277Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:02:39.951Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:02:43.423Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:02:45.033Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:02:46.652Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:02:50.144Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:02:51.780Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:02:51.780Z] 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.
[2026-01-15T08:02:51.780Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:02:52.559Z] Top recommended movies for user id 72:
[2026-01-15T08:02:52.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:02:52.559Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:02:52.559Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:02:52.559Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:02:52.559Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:02:52.559Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23900.840 ms) ======
[2026-01-15T08:02:52.559Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-15T08:02:52.559Z] GC before operation: completed in 134.894 ms, heap usage 653.902 MB -> 93.951 MB.
[2026-01-15T08:02:55.069Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:02:58.541Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:03:03.056Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:03:06.527Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:03:09.028Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:03:10.648Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:03:16.690Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:03:18.482Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:03:18.482Z] 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.
[2026-01-15T08:03:18.482Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:03:18.482Z] Top recommended movies for user id 72:
[2026-01-15T08:03:18.482Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:03:18.482Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:03:18.482Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:03:18.482Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:03:18.482Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:03:18.482Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26417.050 ms) ======
[2026-01-15T08:03:18.482Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-15T08:03:19.263Z] GC before operation: completed in 128.050 ms, heap usage 223.132 MB -> 90.647 MB.
[2026-01-15T08:03:21.771Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:03:25.264Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:03:28.746Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:03:32.371Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:03:34.014Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:03:35.626Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:03:38.132Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:03:39.745Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:03:40.538Z] 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.
[2026-01-15T08:03:40.538Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:03:40.538Z] Top recommended movies for user id 72:
[2026-01-15T08:03:40.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:03:40.538Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:03:40.538Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:03:40.538Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:03:40.538Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:03:40.538Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21766.701 ms) ======
[2026-01-15T08:03:40.538Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-15T08:03:40.538Z] GC before operation: completed in 155.307 ms, heap usage 152.431 MB -> 90.615 MB.
[2026-01-15T08:03:44.017Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:03:47.490Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:03:53.195Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:03:55.720Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:03:58.223Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:03:59.843Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:04:02.350Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:04:03.963Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:04:03.963Z] 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.
[2026-01-15T08:04:03.963Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:04:04.742Z] Top recommended movies for user id 72:
[2026-01-15T08:04:04.742Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:04:04.742Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:04:04.742Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:04:04.742Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:04:04.742Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:04:04.742Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23566.296 ms) ======
[2026-01-15T08:04:04.742Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-15T08:04:04.742Z] GC before operation: completed in 138.381 ms, heap usage 860.814 MB -> 94.770 MB.
[2026-01-15T08:04:07.245Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:04:10.737Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:04:14.213Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:04:17.682Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:04:20.192Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:04:21.809Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:04:27.302Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:04:29.076Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:04:29.857Z] 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.
[2026-01-15T08:04:29.857Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:04:29.857Z] Top recommended movies for user id 72:
[2026-01-15T08:04:29.857Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:04:29.857Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:04:29.857Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:04:29.857Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:04:29.857Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:04:29.858Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25012.458 ms) ======
[2026-01-15T08:04:29.858Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-15T08:04:29.858Z] GC before operation: completed in 134.616 ms, heap usage 2.690 GB -> 97.016 MB.
[2026-01-15T08:04:32.363Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:04:35.849Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:04:40.384Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:04:42.886Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:04:44.504Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:04:47.029Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:04:49.537Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:04:51.163Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:04:51.163Z] 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.
[2026-01-15T08:04:51.163Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:04:51.947Z] Top recommended movies for user id 72:
[2026-01-15T08:04:51.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:04:51.947Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:04:51.947Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:04:51.947Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:04:51.947Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:04:51.947Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21902.081 ms) ======
[2026-01-15T08:04:51.947Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-15T08:04:51.947Z] GC before operation: completed in 123.239 ms, heap usage 346.737 MB -> 91.077 MB.
[2026-01-15T08:04:54.461Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:04:57.955Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:05:02.536Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:05:05.042Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:05:07.559Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:05:09.172Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:05:12.638Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:05:14.250Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:05:14.250Z] 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.
[2026-01-15T08:05:15.031Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:05:15.031Z] Top recommended movies for user id 72:
[2026-01-15T08:05:15.031Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:05:15.031Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:05:15.031Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:05:15.031Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:05:15.031Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:05:15.031Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23121.801 ms) ======
[2026-01-15T08:05:15.031Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-15T08:05:15.031Z] GC before operation: completed in 136.554 ms, heap usage 1.127 GB -> 95.141 MB.
[2026-01-15T08:05:18.545Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:05:23.085Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:05:27.607Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:05:30.702Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:05:33.208Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:05:34.832Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:05:37.348Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:05:38.968Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:05:39.755Z] 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.
[2026-01-15T08:05:39.755Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:05:39.755Z] Top recommended movies for user id 72:
[2026-01-15T08:05:39.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:05:39.755Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:05:39.755Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:05:39.755Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:05:39.755Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:05:39.755Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24769.749 ms) ======
[2026-01-15T08:05:39.755Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-15T08:05:39.755Z] GC before operation: completed in 127.257 ms, heap usage 269.330 MB -> 90.847 MB.
[2026-01-15T08:05:43.224Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:05:45.732Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:05:51.451Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:05:53.957Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:05:55.576Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:05:58.093Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:06:00.610Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:06:02.252Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:06:02.252Z] 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.
[2026-01-15T08:06:02.252Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:06:02.252Z] Top recommended movies for user id 72:
[2026-01-15T08:06:02.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:06:02.252Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:06:02.252Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:06:02.252Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:06:02.252Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:06:02.252Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22715.282 ms) ======
[2026-01-15T08:06:02.252Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-15T08:06:03.038Z] GC before operation: completed in 122.309 ms, heap usage 112.402 MB -> 90.856 MB.
[2026-01-15T08:06:05.561Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:06:09.035Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:06:13.564Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:06:17.053Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:06:18.673Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:06:20.293Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:06:22.798Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:06:24.421Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:06:25.208Z] 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.
[2026-01-15T08:06:25.208Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:06:25.208Z] Top recommended movies for user id 72:
[2026-01-15T08:06:25.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:06:25.208Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:06:25.208Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:06:25.208Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:06:25.208Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:06:25.208Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22330.807 ms) ======
[2026-01-15T08:06:25.208Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-15T08:06:25.208Z] GC before operation: completed in 135.306 ms, heap usage 158.555 MB -> 90.624 MB.
[2026-01-15T08:06:28.678Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:06:31.197Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:06:35.193Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:06:38.662Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:06:41.190Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:06:42.801Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:06:45.318Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:06:46.932Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:06:46.932Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-15T08:06:46.932Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:06:47.714Z] Top recommended movies for user id 72:
[2026-01-15T08:06:47.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:06:47.714Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:06:47.714Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:06:47.714Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:06:47.714Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:06:47.714Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22332.751 ms) ======
[2026-01-15T08:06:47.714Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-15T08:06:47.714Z] GC before operation: completed in 126.092 ms, heap usage 129.777 MB -> 90.899 MB.
[2026-01-15T08:06:50.222Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:06:53.688Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:06:57.161Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:07:00.635Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:07:03.144Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:07:04.773Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:07:07.297Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:07:08.924Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:07:08.924Z] 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.
[2026-01-15T08:07:09.706Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:07:09.706Z] Top recommended movies for user id 72:
[2026-01-15T08:07:09.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:07:09.706Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:07:09.706Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:07:09.706Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:07:09.706Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:07:09.706Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21943.041 ms) ======
[2026-01-15T08:07:09.706Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-15T08:07:09.706Z] GC before operation: completed in 129.406 ms, heap usage 320.669 MB -> 90.961 MB.
[2026-01-15T08:07:13.180Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:07:15.690Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:07:20.213Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:07:22.736Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:07:25.240Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:07:26.861Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:07:32.519Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:07:35.039Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:07:35.827Z] 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.
[2026-01-15T08:07:35.827Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:07:35.827Z] Top recommended movies for user id 72:
[2026-01-15T08:07:35.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:07:35.827Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:07:35.827Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:07:35.827Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:07:35.827Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:07:35.827Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25935.744 ms) ======
[2026-01-15T08:07:35.827Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-15T08:07:35.827Z] GC before operation: completed in 140.271 ms, heap usage 1004.238 MB -> 94.928 MB.
[2026-01-15T08:07:38.361Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:07:41.323Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:07:45.867Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:07:49.348Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:07:50.959Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:07:52.577Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:07:55.086Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:07:56.706Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:07:56.706Z] 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.
[2026-01-15T08:07:56.706Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:07:57.488Z] Top recommended movies for user id 72:
[2026-01-15T08:07:57.488Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:07:57.488Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:07:57.488Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:07:57.488Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:07:57.488Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:07:57.488Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21420.296 ms) ======
[2026-01-15T08:07:57.488Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-15T08:07:57.488Z] GC before operation: completed in 150.596 ms, heap usage 1.614 GB -> 96.219 MB.
[2026-01-15T08:07:59.990Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:08:03.454Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:08:07.969Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:08:10.479Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:08:12.096Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:08:13.715Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:08:16.238Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:08:17.853Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:08:18.634Z] 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.
[2026-01-15T08:08:18.634Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:08:18.634Z] Top recommended movies for user id 72:
[2026-01-15T08:08:18.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:08:18.634Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:08:18.634Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:08:18.634Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:08:18.634Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:08:18.634Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21178.184 ms) ======
[2026-01-15T08:08:18.634Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-15T08:08:18.634Z] GC before operation: completed in 143.274 ms, heap usage 470.534 MB -> 91.141 MB.
[2026-01-15T08:08:22.125Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-15T08:08:25.605Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-15T08:08:29.250Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-15T08:08:31.758Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-15T08:08:33.373Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-15T08:08:35.885Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-15T08:08:41.560Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-15T08:08:44.083Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-15T08:08:44.083Z] 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.
[2026-01-15T08:08:44.083Z] The best model improves the baseline by 14.43%.
[2026-01-15T08:08:45.178Z] Top recommended movies for user id 72:
[2026-01-15T08:08:45.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-15T08:08:45.178Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-15T08:08:45.178Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-15T08:08:45.178Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-15T08:08:45.178Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-15T08:08:45.178Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (25963.641 ms) ======
[2026-01-15T08:08:45.178Z] -----------------------------------
[2026-01-15T08:08:45.178Z] renaissance-movie-lens_0_PASSED
[2026-01-15T08:08:45.178Z] -----------------------------------
[2026-01-15T08:08:45.178Z]
[2026-01-15T08:08:45.178Z] TEST TEARDOWN:
[2026-01-15T08:08:45.178Z] Nothing to be done for teardown.
[2026-01-15T08:08:45.178Z] renaissance-movie-lens_0 Finish Time: Thu Jan 15 08:08:44 2026 Epoch Time (ms): 1768464524734