renaissance-movie-lens_0
[2025-12-04T04:11:50.780Z] Running test renaissance-movie-lens_0 ...
[2025-12-04T04:11:50.780Z] ===============================================
[2025-12-04T04:11:50.780Z] renaissance-movie-lens_0 Start Time: Thu Dec 4 04:11:50 2025 Epoch Time (ms): 1764821510489
[2025-12-04T04:11:50.780Z] variation: NoOptions
[2025-12-04T04:11:50.780Z] JVM_OPTIONS:
[2025-12-04T04:11:50.780Z] { \
[2025-12-04T04:11:50.780Z] echo ""; echo "TEST SETUP:"; \
[2025-12-04T04:11:50.780Z] echo "Nothing to be done for setup."; \
[2025-12-04T04:11:50.780Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648201895438/renaissance-movie-lens_0"; \
[2025-12-04T04:11:50.780Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648201895438/renaissance-movie-lens_0"; \
[2025-12-04T04:11:50.780Z] echo ""; echo "TESTING:"; \
[2025-12-04T04:11:50.780Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648201895438/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-04T04:11:50.780Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648201895438/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-04T04:11:50.780Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-04T04:11:50.780Z] echo "Nothing to be done for teardown."; \
[2025-12-04T04:11:50.780Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648201895438/TestTargetResult";
[2025-12-04T04:11:50.780Z]
[2025-12-04T04:11:50.780Z] TEST SETUP:
[2025-12-04T04:11:50.780Z] Nothing to be done for setup.
[2025-12-04T04:11:50.780Z]
[2025-12-04T04:11:50.780Z] TESTING:
[2025-12-04T04:11:59.148Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-12-04T04:12:09.142Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-04T04:12:09.142Z] Training: 60056, validation: 20285, test: 19854
[2025-12-04T04:12:09.142Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-04T04:12:09.142Z] GC before operation: completed in 140.965 ms, heap usage 601.176 MB -> 75.612 MB.
[2025-12-04T04:12:13.657Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:12:17.149Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:12:20.622Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:12:23.161Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:12:25.727Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:12:27.343Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:12:28.976Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:12:30.604Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:12:31.466Z] 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.
[2025-12-04T04:12:31.466Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:12:31.466Z] Top recommended movies for user id 72:
[2025-12-04T04:12:31.466Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:12:31.466Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:12:31.466Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:12:31.466Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:12:31.466Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:12:31.466Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22660.140 ms) ======
[2025-12-04T04:12:31.466Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-04T04:12:31.466Z] GC before operation: completed in 173.556 ms, heap usage 976.368 MB -> 93.504 MB.
[2025-12-04T04:12:34.954Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:12:37.499Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:12:41.048Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:12:43.550Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:12:45.160Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:12:46.787Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:12:49.303Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:12:50.966Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:12:50.966Z] 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.
[2025-12-04T04:12:50.966Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:12:50.966Z] Top recommended movies for user id 72:
[2025-12-04T04:12:50.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:12:50.966Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:12:50.966Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:12:50.966Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:12:50.966Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:12:50.966Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19465.492 ms) ======
[2025-12-04T04:12:50.966Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-04T04:12:50.966Z] GC before operation: completed in 156.950 ms, heap usage 1.707 GB -> 95.580 MB.
[2025-12-04T04:12:54.840Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:12:57.568Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:13:00.074Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:13:03.869Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:13:04.648Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:13:06.258Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:13:08.293Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:13:10.091Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:13:11.216Z] 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.
[2025-12-04T04:13:11.216Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:13:11.216Z] Top recommended movies for user id 72:
[2025-12-04T04:13:11.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:13:11.216Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:13:11.216Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:13:11.216Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:13:11.216Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:13:11.216Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19261.741 ms) ======
[2025-12-04T04:13:11.216Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-04T04:13:11.216Z] GC before operation: completed in 176.036 ms, heap usage 2.624 GB -> 97.100 MB.
[2025-12-04T04:13:13.718Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:13:17.355Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:13:18.975Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:13:21.824Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:13:23.510Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:13:25.121Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:13:27.648Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:13:29.262Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:13:29.262Z] 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.
[2025-12-04T04:13:29.262Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:13:29.262Z] Top recommended movies for user id 72:
[2025-12-04T04:13:29.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:13:29.262Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:13:29.262Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:13:29.262Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:13:29.262Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:13:29.262Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18620.587 ms) ======
[2025-12-04T04:13:29.262Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-04T04:13:29.262Z] GC before operation: completed in 150.149 ms, heap usage 176.799 MB -> 91.338 MB.
[2025-12-04T04:13:32.730Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:13:35.234Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:13:38.696Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:13:41.201Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:13:42.840Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:13:44.465Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:13:46.075Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:13:47.686Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:13:48.472Z] 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.
[2025-12-04T04:13:48.472Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:13:48.472Z] Top recommended movies for user id 72:
[2025-12-04T04:13:48.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:13:48.472Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:13:48.472Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:13:48.472Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:13:48.472Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:13:48.472Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18795.377 ms) ======
[2025-12-04T04:13:48.472Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-04T04:13:48.472Z] GC before operation: completed in 159.418 ms, heap usage 2.982 GB -> 97.274 MB.
[2025-12-04T04:13:50.984Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:13:54.474Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:13:56.978Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:14:00.119Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:14:01.741Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:14:03.368Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:14:04.993Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:14:06.645Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:14:06.645Z] 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.
[2025-12-04T04:14:06.645Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:14:06.645Z] Top recommended movies for user id 72:
[2025-12-04T04:14:06.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:14:06.645Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:14:06.645Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:14:06.645Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:14:06.645Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:14:06.645Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18381.915 ms) ======
[2025-12-04T04:14:06.645Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-04T04:14:06.645Z] GC before operation: completed in 162.644 ms, heap usage 663.831 MB -> 91.615 MB.
[2025-12-04T04:14:10.104Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:14:12.612Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:14:15.236Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:14:18.726Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:14:19.505Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:14:22.004Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:14:23.690Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:14:25.334Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:14:25.334Z] 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.
[2025-12-04T04:14:25.334Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:14:25.334Z] Top recommended movies for user id 72:
[2025-12-04T04:14:25.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:14:25.334Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:14:25.334Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:14:25.334Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:14:25.334Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:14:25.334Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18384.838 ms) ======
[2025-12-04T04:14:25.334Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-04T04:14:25.334Z] GC before operation: completed in 153.663 ms, heap usage 2.722 GB -> 97.417 MB.
[2025-12-04T04:14:28.801Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:14:31.308Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:14:33.831Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:14:37.315Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:14:38.928Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:14:40.550Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:14:42.160Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:14:43.776Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:14:43.776Z] 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.
[2025-12-04T04:14:43.776Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:14:43.776Z] Top recommended movies for user id 72:
[2025-12-04T04:14:43.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:14:43.776Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:14:43.776Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:14:43.776Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:14:43.776Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:14:43.776Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18456.641 ms) ======
[2025-12-04T04:14:43.776Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-04T04:14:44.561Z] GC before operation: completed in 184.536 ms, heap usage 1.146 GB -> 96.020 MB.
[2025-12-04T04:14:47.159Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:14:49.660Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:14:53.332Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:14:55.861Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:14:57.482Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:14:59.109Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:15:00.716Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:15:02.345Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:15:02.345Z] 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.
[2025-12-04T04:15:02.345Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:15:03.124Z] Top recommended movies for user id 72:
[2025-12-04T04:15:03.124Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:15:03.124Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:15:03.124Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:15:03.124Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:15:03.124Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:15:03.124Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18591.291 ms) ======
[2025-12-04T04:15:03.124Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-04T04:15:03.124Z] GC before operation: completed in 163.877 ms, heap usage 805.631 MB -> 95.000 MB.
[2025-12-04T04:15:05.626Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:15:08.691Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:15:11.214Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:15:13.720Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:15:16.218Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:15:17.828Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:15:19.448Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:15:21.066Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:15:21.066Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T04:15:21.066Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:15:21.066Z] Top recommended movies for user id 72:
[2025-12-04T04:15:21.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:15:21.066Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:15:21.066Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:15:21.066Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:15:21.066Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:15:21.066Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18428.660 ms) ======
[2025-12-04T04:15:21.066Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-04T04:15:21.888Z] GC before operation: completed in 171.987 ms, heap usage 2.480 GB -> 97.733 MB.
[2025-12-04T04:15:24.398Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:15:26.899Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:15:30.383Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:15:32.887Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:15:34.502Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:15:36.113Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:15:37.740Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:15:39.349Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:15:40.128Z] 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.
[2025-12-04T04:15:40.129Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:15:40.129Z] Top recommended movies for user id 72:
[2025-12-04T04:15:40.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:15:40.129Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:15:40.129Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:15:40.129Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:15:40.129Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:15:40.129Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18585.365 ms) ======
[2025-12-04T04:15:40.129Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-04T04:15:40.129Z] GC before operation: completed in 188.837 ms, heap usage 2.967 GB -> 97.530 MB.
[2025-12-04T04:15:43.599Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:15:46.108Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:15:48.621Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:15:52.100Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:15:52.883Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:15:54.515Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:15:57.024Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:15:57.814Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:15:58.591Z] 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.
[2025-12-04T04:15:58.591Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:15:58.591Z] Top recommended movies for user id 72:
[2025-12-04T04:15:58.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:15:58.591Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:15:58.591Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:15:58.591Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:15:58.591Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:15:58.591Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18291.585 ms) ======
[2025-12-04T04:15:58.591Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-04T04:15:58.591Z] GC before operation: completed in 166.161 ms, heap usage 540.433 MB -> 91.696 MB.
[2025-12-04T04:16:01.104Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:16:04.568Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:16:07.067Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:16:10.540Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:16:12.152Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:16:13.766Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:16:15.407Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:16:17.040Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:16:17.040Z] 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.
[2025-12-04T04:16:17.040Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:16:17.040Z] Top recommended movies for user id 72:
[2025-12-04T04:16:17.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:16:17.040Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:16:17.040Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:16:17.040Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:16:17.040Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:16:17.040Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18504.520 ms) ======
[2025-12-04T04:16:17.040Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-04T04:16:18.139Z] GC before operation: completed in 171.171 ms, heap usage 2.846 GB -> 97.861 MB.
[2025-12-04T04:16:19.918Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:16:23.460Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:16:25.957Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:16:28.460Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:16:30.079Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:16:31.708Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:16:34.222Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:16:35.844Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:16:35.844Z] 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.
[2025-12-04T04:16:35.844Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:16:35.844Z] Top recommended movies for user id 72:
[2025-12-04T04:16:35.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:16:35.844Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:16:35.844Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:16:35.844Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:16:35.844Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:16:35.844Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18500.752 ms) ======
[2025-12-04T04:16:35.844Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-04T04:16:35.844Z] GC before operation: completed in 172.504 ms, heap usage 3.265 GB -> 97.663 MB.
[2025-12-04T04:16:39.372Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:16:41.896Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:16:44.393Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:16:46.902Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:16:49.408Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:16:50.185Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:16:52.699Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:16:54.305Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:16:54.305Z] 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.
[2025-12-04T04:16:54.305Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:16:54.305Z] Top recommended movies for user id 72:
[2025-12-04T04:16:54.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:16:54.305Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:16:54.305Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:16:54.305Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:16:54.305Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:16:54.305Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18290.834 ms) ======
[2025-12-04T04:16:54.305Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-04T04:16:54.305Z] GC before operation: completed in 161.324 ms, heap usage 174.710 MB -> 94.170 MB.
[2025-12-04T04:16:57.785Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:17:00.285Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:17:03.760Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:17:06.260Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:17:07.869Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:17:09.478Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:17:11.084Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:17:12.692Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:17:12.692Z] 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.
[2025-12-04T04:17:12.692Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:17:13.480Z] Top recommended movies for user id 72:
[2025-12-04T04:17:13.480Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:17:13.480Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:17:13.480Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:17:13.480Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:17:13.480Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:17:13.480Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18608.116 ms) ======
[2025-12-04T04:17:13.480Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-04T04:17:13.480Z] GC before operation: completed in 168.059 ms, heap usage 390.599 MB -> 91.440 MB.
[2025-12-04T04:17:15.979Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:17:19.443Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:17:21.974Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:17:25.126Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:17:25.932Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:17:27.540Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:17:30.181Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:17:30.977Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:17:31.767Z] 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.
[2025-12-04T04:17:31.767Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:17:31.767Z] Top recommended movies for user id 72:
[2025-12-04T04:17:31.767Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:17:31.767Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:17:31.767Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:17:31.767Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:17:31.767Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:17:31.767Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18440.218 ms) ======
[2025-12-04T04:17:31.767Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-04T04:17:31.767Z] GC before operation: completed in 171.507 ms, heap usage 2.107 GB -> 97.759 MB.
[2025-12-04T04:17:35.230Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:17:37.728Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:17:41.195Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:17:43.730Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:17:45.338Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:17:46.950Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:17:48.573Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:17:50.182Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:17:50.182Z] 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.
[2025-12-04T04:17:50.182Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:17:50.980Z] Top recommended movies for user id 72:
[2025-12-04T04:17:50.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:17:50.980Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:17:50.980Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:17:50.980Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:17:50.980Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:17:50.980Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18719.789 ms) ======
[2025-12-04T04:17:50.980Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-04T04:17:50.980Z] GC before operation: completed in 164.338 ms, heap usage 3.138 GB -> 97.814 MB.
[2025-12-04T04:17:53.544Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:17:57.028Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:17:59.526Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:18:02.046Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:18:03.655Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:18:05.275Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:18:07.777Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:18:09.396Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:18:09.396Z] 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.
[2025-12-04T04:18:09.396Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:18:09.396Z] Top recommended movies for user id 72:
[2025-12-04T04:18:09.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:18:09.396Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:18:09.396Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:18:09.396Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:18:09.396Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:18:09.396Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18735.382 ms) ======
[2025-12-04T04:18:09.396Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-04T04:18:09.396Z] GC before operation: completed in 164.132 ms, heap usage 2.621 GB -> 97.892 MB.
[2025-12-04T04:18:12.903Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T04:18:15.402Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T04:18:18.881Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T04:18:21.398Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T04:18:23.011Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T04:18:24.620Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T04:18:26.239Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T04:18:27.880Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T04:18:27.880Z] 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.
[2025-12-04T04:18:28.659Z] The best model improves the baseline by 14.43%.
[2025-12-04T04:18:28.659Z] Top recommended movies for user id 72:
[2025-12-04T04:18:28.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T04:18:28.659Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T04:18:28.659Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T04:18:28.659Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T04:18:28.659Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T04:18:28.659Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18727.291 ms) ======
[2025-12-04T04:18:29.454Z] -----------------------------------
[2025-12-04T04:18:29.454Z] renaissance-movie-lens_0_PASSED
[2025-12-04T04:18:29.454Z] -----------------------------------
[2025-12-04T04:18:29.454Z]
[2025-12-04T04:18:29.454Z] TEST TEARDOWN:
[2025-12-04T04:18:29.454Z] Nothing to be done for teardown.
[2025-12-04T04:18:29.454Z] renaissance-movie-lens_0 Finish Time: Thu Dec 4 04:18:28 2025 Epoch Time (ms): 1764821908590