renaissance-movie-lens_0
[2025-10-18T10:29:00.696Z] Running test renaissance-movie-lens_0 ...
[2025-10-18T10:29:00.696Z] ===============================================
[2025-10-18T10:29:00.696Z] renaissance-movie-lens_0 Start Time: Sat Oct 18 10:28:59 2025 Epoch Time (ms): 1760783339631
[2025-10-18T10:29:00.696Z] variation: NoOptions
[2025-10-18T10:29:00.696Z] JVM_OPTIONS:
[2025-10-18T10:29:00.696Z] { \
[2025-10-18T10:29:00.696Z] echo ""; echo "TEST SETUP:"; \
[2025-10-18T10:29:00.696Z] echo "Nothing to be done for setup."; \
[2025-10-18T10:29:00.696Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17607815054191/renaissance-movie-lens_0"; \
[2025-10-18T10:29:00.696Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17607815054191/renaissance-movie-lens_0"; \
[2025-10-18T10:29:00.696Z] echo ""; echo "TESTING:"; \
[2025-10-18T10:29:00.696Z] "/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_17607815054191/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-18T10:29:00.697Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17607815054191/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-18T10:29:00.697Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-18T10:29:00.697Z] echo "Nothing to be done for teardown."; \
[2025-10-18T10:29:00.697Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17607815054191/TestTargetResult";
[2025-10-18T10:29:00.697Z]
[2025-10-18T10:29:00.697Z] TEST SETUP:
[2025-10-18T10:29:00.697Z] Nothing to be done for setup.
[2025-10-18T10:29:00.697Z]
[2025-10-18T10:29:00.697Z] TESTING:
[2025-10-18T10:29:01.472Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-10-18T10:29:01.472Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17607815054191/renaissance-movie-lens_0/launcher-102859-15335485278532236014/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-10-18T10:29:01.472Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-10-18T10:29:01.472Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-10-18T10:29:20.395Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2025-10-18T10:29:32.153Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-18T10:29:32.153Z] Training: 60056, validation: 20285, test: 19854
[2025-10-18T10:29:32.153Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-18T10:29:32.153Z] GC before operation: completed in 132.035 ms, heap usage 432.080 MB -> 75.452 MB.
[2025-10-18T10:29:37.800Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:29:42.507Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:29:47.019Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:29:50.475Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:29:52.973Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:29:55.471Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:29:57.075Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:29:59.583Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:29:59.583Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-10-18T10:29:59.583Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:30:00.359Z] Top recommended movies for user id 72:
[2025-10-18T10:30:00.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:30:00.359Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:30:00.359Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:30:00.359Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:30:00.359Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:30:00.359Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28214.389 ms) ======
[2025-10-18T10:30:00.359Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-18T10:30:00.359Z] GC before operation: completed in 150.705 ms, heap usage 372.899 MB -> 86.959 MB.
[2025-10-18T10:30:03.856Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:30:07.311Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:30:10.781Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:30:14.244Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:30:16.736Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:30:18.352Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:30:20.865Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:30:23.359Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:30:23.359Z] 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.
[2025-10-18T10:30:23.359Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:30:23.359Z] Top recommended movies for user id 72:
[2025-10-18T10:30:23.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:30:23.359Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:30:23.359Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:30:23.359Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:30:23.359Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:30:23.359Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23313.162 ms) ======
[2025-10-18T10:30:23.359Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-18T10:30:23.359Z] GC before operation: completed in 121.310 ms, heap usage 168.043 MB -> 89.560 MB.
[2025-10-18T10:30:26.812Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:30:30.275Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:30:34.798Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:30:37.289Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:30:39.781Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:30:41.387Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:30:43.904Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:30:46.400Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:30:46.400Z] 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.
[2025-10-18T10:30:46.400Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:30:46.400Z] Top recommended movies for user id 72:
[2025-10-18T10:30:46.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:30:46.400Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:30:46.400Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:30:46.400Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:30:46.400Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:30:46.400Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22950.030 ms) ======
[2025-10-18T10:30:46.400Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-18T10:30:46.400Z] GC before operation: completed in 141.474 ms, heap usage 113.392 MB -> 90.340 MB.
[2025-10-18T10:30:49.855Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:30:54.370Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:30:57.839Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:31:01.298Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:31:02.904Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:31:04.507Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:31:07.052Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:31:08.660Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:31:09.436Z] 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.
[2025-10-18T10:31:09.436Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:31:09.436Z] Top recommended movies for user id 72:
[2025-10-18T10:31:09.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:31:09.436Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:31:09.436Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:31:09.436Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:31:09.436Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:31:09.436Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22705.600 ms) ======
[2025-10-18T10:31:09.436Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-18T10:31:09.436Z] GC before operation: completed in 142.201 ms, heap usage 149.618 MB -> 90.660 MB.
[2025-10-18T10:31:12.894Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:31:15.386Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:31:19.896Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:31:22.397Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:31:24.021Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:31:25.632Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:31:28.143Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:31:29.791Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:31:29.791Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-10-18T10:31:29.791Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:31:29.791Z] Top recommended movies for user id 72:
[2025-10-18T10:31:29.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:31:29.791Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:31:29.791Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:31:29.791Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:31:29.791Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:31:29.791Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20544.514 ms) ======
[2025-10-18T10:31:29.791Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-18T10:31:30.565Z] GC before operation: completed in 132.429 ms, heap usage 2.404 GB -> 97.131 MB.
[2025-10-18T10:31:33.074Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:31:36.533Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:31:41.051Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:31:43.545Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:31:46.062Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:31:47.671Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:31:50.168Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:31:51.784Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:31:51.784Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-10-18T10:31:52.562Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:31:52.562Z] Top recommended movies for user id 72:
[2025-10-18T10:31:52.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:31:52.562Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:31:52.562Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:31:52.562Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:31:52.562Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:31:52.562Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22192.636 ms) ======
[2025-10-18T10:31:52.562Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-18T10:31:52.562Z] GC before operation: completed in 124.723 ms, heap usage 319.502 MB -> 91.390 MB.
[2025-10-18T10:31:56.024Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:31:59.492Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:32:03.990Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:32:06.491Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:32:08.981Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:32:10.583Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:32:13.084Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:32:14.701Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:32:15.476Z] 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.
[2025-10-18T10:32:15.476Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:32:15.476Z] Top recommended movies for user id 72:
[2025-10-18T10:32:15.476Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:32:15.476Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:32:15.476Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:32:15.476Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:32:15.476Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:32:15.476Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22793.569 ms) ======
[2025-10-18T10:32:15.476Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-18T10:32:15.476Z] GC before operation: completed in 131.336 ms, heap usage 597.052 MB -> 91.495 MB.
[2025-10-18T10:32:17.972Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:32:21.427Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:32:24.900Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:32:28.368Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:32:30.343Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:32:32.097Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:32:33.732Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:32:36.229Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:32:36.229Z] 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.
[2025-10-18T10:32:36.229Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:32:36.229Z] Top recommended movies for user id 72:
[2025-10-18T10:32:36.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:32:36.229Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:32:36.229Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:32:36.229Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:32:36.229Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:32:36.229Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20893.480 ms) ======
[2025-10-18T10:32:36.229Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-18T10:32:36.229Z] GC before operation: completed in 121.792 ms, heap usage 325.037 MB -> 91.565 MB.
[2025-10-18T10:32:39.683Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:32:43.158Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:32:46.709Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:32:50.165Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:32:51.773Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:32:53.379Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:32:56.834Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:32:58.443Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:32:59.219Z] 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.
[2025-10-18T10:32:59.219Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:32:59.219Z] Top recommended movies for user id 72:
[2025-10-18T10:32:59.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:32:59.219Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:32:59.219Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:32:59.219Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:32:59.219Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:32:59.219Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22671.853 ms) ======
[2025-10-18T10:32:59.219Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-18T10:32:59.219Z] GC before operation: completed in 124.417 ms, heap usage 2.377 GB -> 97.760 MB.
[2025-10-18T10:33:02.679Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:33:05.192Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:33:09.691Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:33:12.181Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:33:14.672Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:33:16.297Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:33:17.911Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:33:20.419Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:33:20.419Z] 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.
[2025-10-18T10:33:20.419Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:33:20.419Z] Top recommended movies for user id 72:
[2025-10-18T10:33:20.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:33:20.419Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:33:20.419Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:33:20.419Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:33:20.419Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:33:20.419Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21413.774 ms) ======
[2025-10-18T10:33:20.419Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-18T10:33:21.197Z] GC before operation: completed in 122.425 ms, heap usage 316.616 MB -> 91.424 MB.
[2025-10-18T10:33:23.695Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:33:27.147Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:33:30.779Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:33:34.231Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:33:35.837Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:33:38.334Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:33:40.830Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:33:42.439Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:33:42.439Z] 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.
[2025-10-18T10:33:42.439Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:33:43.215Z] Top recommended movies for user id 72:
[2025-10-18T10:33:43.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:33:43.215Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:33:43.215Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:33:43.215Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:33:43.215Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:33:43.215Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22078.489 ms) ======
[2025-10-18T10:33:43.215Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-18T10:33:43.215Z] GC before operation: completed in 124.677 ms, heap usage 354.736 MB -> 91.347 MB.
[2025-10-18T10:33:45.705Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:33:49.154Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:33:53.664Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:33:56.351Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:33:57.957Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:34:00.447Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:34:03.903Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:34:05.509Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:34:06.286Z] 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.
[2025-10-18T10:34:06.286Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:34:06.286Z] Top recommended movies for user id 72:
[2025-10-18T10:34:06.286Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:34:06.286Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:34:06.286Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:34:06.286Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:34:06.286Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:34:06.286Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23140.348 ms) ======
[2025-10-18T10:34:06.286Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-18T10:34:06.286Z] GC before operation: completed in 142.048 ms, heap usage 316.206 MB -> 91.712 MB.
[2025-10-18T10:34:09.739Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:34:13.192Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:34:16.662Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:34:20.127Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:34:21.730Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:34:23.353Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:34:25.844Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:34:28.354Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:34:28.354Z] 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.
[2025-10-18T10:34:28.354Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:34:28.354Z] Top recommended movies for user id 72:
[2025-10-18T10:34:28.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:34:28.354Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:34:28.354Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:34:28.354Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:34:28.354Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:34:28.354Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22118.272 ms) ======
[2025-10-18T10:34:28.354Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-18T10:34:28.354Z] GC before operation: completed in 119.674 ms, heap usage 320.363 MB -> 91.779 MB.
[2025-10-18T10:34:31.830Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:34:35.289Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:34:38.742Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:34:42.205Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:34:43.817Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:34:45.419Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:34:47.036Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:34:49.537Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:34:49.537Z] 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.
[2025-10-18T10:34:49.537Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:34:49.537Z] Top recommended movies for user id 72:
[2025-10-18T10:34:49.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:34:49.537Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:34:49.537Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:34:49.537Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:34:49.537Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:34:49.537Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20962.875 ms) ======
[2025-10-18T10:34:49.538Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-18T10:34:49.538Z] GC before operation: completed in 139.061 ms, heap usage 2.914 GB -> 98.174 MB.
[2025-10-18T10:34:53.007Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:34:55.506Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:35:00.001Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:35:02.493Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:35:04.108Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:35:06.618Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:35:09.117Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:35:11.618Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:35:11.618Z] 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.
[2025-10-18T10:35:11.618Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:35:12.395Z] Top recommended movies for user id 72:
[2025-10-18T10:35:12.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:35:12.395Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:35:12.395Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:35:12.395Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:35:12.395Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:35:12.395Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22369.163 ms) ======
[2025-10-18T10:35:12.395Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-18T10:35:12.395Z] GC before operation: completed in 126.777 ms, heap usage 317.287 MB -> 91.766 MB.
[2025-10-18T10:35:14.905Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:35:18.550Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:35:22.005Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:35:25.462Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:35:27.074Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:35:28.685Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:35:31.183Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:35:32.791Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:35:33.573Z] 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.
[2025-10-18T10:35:33.573Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:35:33.573Z] Top recommended movies for user id 72:
[2025-10-18T10:35:33.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:35:33.573Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:35:33.573Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:35:33.573Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:35:33.573Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:35:33.573Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21517.618 ms) ======
[2025-10-18T10:35:33.573Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-18T10:35:33.573Z] GC before operation: completed in 122.637 ms, heap usage 112.304 MB -> 91.517 MB.
[2025-10-18T10:35:37.025Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:35:40.480Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:35:43.928Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:35:47.383Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:35:48.985Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:35:51.477Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:35:53.086Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:35:55.596Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:35:55.596Z] 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.
[2025-10-18T10:35:55.596Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:35:55.596Z] Top recommended movies for user id 72:
[2025-10-18T10:35:55.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:35:55.596Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:35:55.596Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:35:55.596Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:35:55.596Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:35:55.596Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22007.886 ms) ======
[2025-10-18T10:35:55.596Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-18T10:35:55.596Z] GC before operation: completed in 118.399 ms, heap usage 158.736 MB -> 94.561 MB.
[2025-10-18T10:35:59.044Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:36:01.541Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:36:06.038Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:36:08.534Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:36:11.039Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:36:13.530Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:36:18.040Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:36:19.664Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:36:20.445Z] 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.
[2025-10-18T10:36:20.445Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:36:20.445Z] Top recommended movies for user id 72:
[2025-10-18T10:36:20.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:36:20.445Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:36:20.445Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:36:20.445Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:36:20.445Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:36:20.445Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24498.427 ms) ======
[2025-10-18T10:36:20.445Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-18T10:36:20.445Z] GC before operation: completed in 121.103 ms, heap usage 321.244 MB -> 91.310 MB.
[2025-10-18T10:36:23.898Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:36:27.381Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:36:30.842Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:36:33.354Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:36:35.848Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:36:37.451Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:36:39.938Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:36:41.748Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:36:41.748Z] 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.
[2025-10-18T10:36:41.748Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:36:42.524Z] Top recommended movies for user id 72:
[2025-10-18T10:36:42.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:36:42.524Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:36:42.524Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:36:42.524Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:36:42.524Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:36:42.524Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21648.419 ms) ======
[2025-10-18T10:36:42.524Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-18T10:36:42.524Z] GC before operation: completed in 116.849 ms, heap usage 284.904 MB -> 91.419 MB.
[2025-10-18T10:36:45.034Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-18T10:36:48.495Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-18T10:36:51.952Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-18T10:36:55.401Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-18T10:36:57.008Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-18T10:36:59.510Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-18T10:37:01.112Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-18T10:37:03.679Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-18T10:37:03.679Z] 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.
[2025-10-18T10:37:03.679Z] The best model improves the baseline by 14.43%.
[2025-10-18T10:37:03.679Z] Top recommended movies for user id 72:
[2025-10-18T10:37:03.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-18T10:37:03.679Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-18T10:37:03.679Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-18T10:37:03.679Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-18T10:37:03.679Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-18T10:37:03.679Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21548.875 ms) ======
[2025-10-18T10:37:04.455Z] -----------------------------------
[2025-10-18T10:37:04.455Z] renaissance-movie-lens_0_PASSED
[2025-10-18T10:37:04.455Z] -----------------------------------
[2025-10-18T10:37:04.455Z]
[2025-10-18T10:37:04.455Z] TEST TEARDOWN:
[2025-10-18T10:37:04.455Z] Nothing to be done for teardown.
[2025-10-18T10:37:04.455Z] renaissance-movie-lens_0 Finish Time: Sat Oct 18 10:37:03 2025 Epoch Time (ms): 1760783823966