renaissance-movie-lens_0
[2026-03-05T05:23:47.749Z] Running test renaissance-movie-lens_0 ...
[2026-03-05T05:23:47.749Z] ===============================================
[2026-03-05T05:23:47.749Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 05:23:46 2026 Epoch Time (ms): 1772688226614
[2026-03-05T05:23:47.749Z] variation: NoOptions
[2026-03-05T05:23:47.749Z] JVM_OPTIONS:
[2026-03-05T05:23:47.749Z] { \
[2026-03-05T05:23:47.749Z] echo ""; echo "TEST SETUP:"; \
[2026-03-05T05:23:47.749Z] echo "Nothing to be done for setup."; \
[2026-03-05T05:23:47.749Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17726871916718/renaissance-movie-lens_0"; \
[2026-03-05T05:23:47.749Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17726871916718/renaissance-movie-lens_0"; \
[2026-03-05T05:23:47.749Z] echo ""; echo "TESTING:"; \
[2026-03-05T05:23:47.749Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17726871916718/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-03-05T05:23:47.749Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17726871916718/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-03-05T05:23:47.749Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-03-05T05:23:47.749Z] echo "Nothing to be done for teardown."; \
[2026-03-05T05:23:47.749Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17726871916718/TestTargetResult";
[2026-03-05T05:23:47.749Z]
[2026-03-05T05:23:47.749Z] TEST SETUP:
[2026-03-05T05:23:47.749Z] Nothing to be done for setup.
[2026-03-05T05:23:47.749Z]
[2026-03-05T05:23:47.749Z] TESTING:
[2026-03-05T05:23:56.491Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2026-03-05T05:24:10.380Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-03-05T05:24:10.380Z] Training: 60056, validation: 20285, test: 19854
[2026-03-05T05:24:10.380Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-03-05T05:24:10.380Z] GC before operation: completed in 165.224 ms, heap usage 437.597 MB -> 75.368 MB.
[2026-03-05T05:24:17.332Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:24:20.803Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:24:25.317Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:24:29.841Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:24:31.468Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:24:33.973Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:24:36.481Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:24:38.979Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:24:39.768Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:24:39.768Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:24:39.768Z] Top recommended movies for user id 72:
[2026-03-05T05:24:39.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:24:39.768Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:24:39.768Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:24:39.768Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:24:39.768Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:24:39.768Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29737.746 ms) ======
[2026-03-05T05:24:39.768Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-03-05T05:24:39.769Z] GC before operation: completed in 205.222 ms, heap usage 615.737 MB -> 88.274 MB.
[2026-03-05T05:24:44.307Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:24:47.786Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:24:52.308Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:24:55.785Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:24:58.293Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:25:00.277Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:25:02.799Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:25:05.325Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:25:05.325Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:25:06.109Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:25:06.109Z] Top recommended movies for user id 72:
[2026-03-05T05:25:06.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:25:06.109Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:25:06.109Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:25:06.109Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:25:06.109Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:25:06.109Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25886.543 ms) ======
[2026-03-05T05:25:06.109Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-03-05T05:25:06.109Z] GC before operation: completed in 238.641 ms, heap usage 1008.965 MB -> 94.775 MB.
[2026-03-05T05:25:10.638Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:25:14.140Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:25:17.624Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:25:21.104Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:25:23.610Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:25:26.126Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:25:28.629Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:25:30.260Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:25:31.095Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:25:31.095Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:25:31.095Z] Top recommended movies for user id 72:
[2026-03-05T05:25:31.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:25:31.095Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:25:31.095Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:25:31.095Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:25:31.095Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:25:31.095Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24714.609 ms) ======
[2026-03-05T05:25:31.095Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-03-05T05:25:31.095Z] GC before operation: completed in 244.250 ms, heap usage 553.459 MB -> 91.731 MB.
[2026-03-05T05:25:34.580Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:25:39.101Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:25:42.579Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:25:46.052Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:25:48.566Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:25:50.229Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:25:52.746Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:25:55.256Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:25:55.257Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:25:55.257Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:25:56.040Z] Top recommended movies for user id 72:
[2026-03-05T05:25:56.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:25:56.040Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:25:56.040Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:25:56.040Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:25:56.040Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:25:56.040Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24584.686 ms) ======
[2026-03-05T05:25:56.040Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-03-05T05:25:56.040Z] GC before operation: completed in 221.768 ms, heap usage 522.422 MB -> 91.964 MB.
[2026-03-05T05:25:59.532Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:26:04.065Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:26:07.587Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:26:11.072Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:26:13.573Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:26:15.191Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:26:17.707Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:26:20.219Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:26:20.219Z] 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.
[2026-03-05T05:26:20.219Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:26:20.219Z] Top recommended movies for user id 72:
[2026-03-05T05:26:20.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:26:20.219Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:26:20.219Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:26:20.219Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:26:20.219Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:26:20.219Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24521.632 ms) ======
[2026-03-05T05:26:20.219Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-03-05T05:26:21.005Z] GC before operation: completed in 243.583 ms, heap usage 866.044 MB -> 95.516 MB.
[2026-03-05T05:26:24.470Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:26:27.946Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:26:32.470Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:26:35.153Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:26:37.656Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:26:40.160Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:26:43.888Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:26:44.679Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:26:44.679Z] 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.
[2026-03-05T05:26:44.679Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:26:44.679Z] Top recommended movies for user id 72:
[2026-03-05T05:26:44.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:26:44.679Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:26:44.679Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:26:44.679Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:26:44.679Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:26:44.679Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24207.076 ms) ======
[2026-03-05T05:26:44.679Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-03-05T05:26:45.458Z] GC before operation: completed in 221.445 ms, heap usage 859.450 MB -> 95.892 MB.
[2026-03-05T05:26:48.917Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:26:52.387Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:26:56.906Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:26:59.776Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:27:02.304Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:27:04.801Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:27:06.422Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:27:08.931Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:27:09.710Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:27:09.710Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:27:09.710Z] Top recommended movies for user id 72:
[2026-03-05T05:27:09.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:27:09.710Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:27:09.710Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:27:09.710Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:27:09.710Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:27:09.710Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24515.824 ms) ======
[2026-03-05T05:27:09.710Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-03-05T05:27:09.710Z] GC before operation: completed in 214.662 ms, heap usage 516.011 MB -> 92.181 MB.
[2026-03-05T05:27:14.222Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:27:17.699Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:27:21.177Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:27:24.652Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:27:27.165Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:27:28.776Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:27:31.292Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:27:33.803Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:27:33.803Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:27:33.803Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:27:33.803Z] Top recommended movies for user id 72:
[2026-03-05T05:27:33.803Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:27:33.803Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:27:33.803Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:27:33.803Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:27:33.803Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:27:33.803Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24019.735 ms) ======
[2026-03-05T05:27:33.803Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-03-05T05:27:34.583Z] GC before operation: completed in 239.050 ms, heap usage 411.781 MB -> 92.342 MB.
[2026-03-05T05:27:38.101Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:27:41.597Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:27:45.102Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:27:48.595Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:27:51.198Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:27:52.810Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:27:55.330Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:27:57.856Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:27:57.856Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:27:57.856Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:27:57.856Z] Top recommended movies for user id 72:
[2026-03-05T05:27:57.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:27:57.856Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:27:57.856Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:27:57.856Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:27:57.856Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:27:57.856Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23951.612 ms) ======
[2026-03-05T05:27:57.856Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-03-05T05:27:58.636Z] GC before operation: completed in 230.913 ms, heap usage 482.923 MB -> 92.314 MB.
[2026-03-05T05:28:02.112Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:28:05.593Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:28:09.090Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:28:12.574Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:28:15.078Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:28:16.689Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:28:19.201Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:28:21.737Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:28:21.737Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:28:21.737Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:28:22.517Z] Top recommended movies for user id 72:
[2026-03-05T05:28:22.517Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:28:22.517Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:28:22.517Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:28:22.517Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:28:22.517Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:28:22.517Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23840.810 ms) ======
[2026-03-05T05:28:22.517Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-03-05T05:28:22.517Z] GC before operation: completed in 220.165 ms, heap usage 1.031 GB -> 96.328 MB.
[2026-03-05T05:28:25.983Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:28:29.450Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:28:32.916Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:28:36.378Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:28:38.945Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:28:41.453Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:28:43.984Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:28:45.598Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:28:46.378Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:28:46.378Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:28:46.378Z] Top recommended movies for user id 72:
[2026-03-05T05:28:46.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:28:46.378Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:28:46.378Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:28:46.378Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:28:46.378Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:28:46.378Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23945.346 ms) ======
[2026-03-05T05:28:46.378Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-03-05T05:28:46.378Z] GC before operation: completed in 220.783 ms, heap usage 435.701 MB -> 92.115 MB.
[2026-03-05T05:28:50.900Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:28:54.358Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:28:57.882Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:29:01.345Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:29:03.848Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:29:05.461Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:29:07.975Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:29:10.483Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:29:10.483Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:29:10.483Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:29:10.483Z] Top recommended movies for user id 72:
[2026-03-05T05:29:10.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:29:10.483Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:29:10.483Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:29:10.483Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:29:10.483Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:29:10.483Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24042.741 ms) ======
[2026-03-05T05:29:10.483Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-03-05T05:29:10.483Z] GC before operation: completed in 204.292 ms, heap usage 605.761 MB -> 92.521 MB.
[2026-03-05T05:29:15.005Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:29:18.486Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:29:21.958Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:29:25.448Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:29:27.948Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:29:29.565Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:29:32.078Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:29:34.587Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:29:34.587Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:29:34.587Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:29:34.587Z] Top recommended movies for user id 72:
[2026-03-05T05:29:34.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:29:34.587Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:29:34.587Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:29:34.587Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:29:34.587Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:29:34.587Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24053.923 ms) ======
[2026-03-05T05:29:34.587Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-03-05T05:29:35.369Z] GC before operation: completed in 242.279 ms, heap usage 726.604 MB -> 96.062 MB.
[2026-03-05T05:29:38.847Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:29:42.312Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:29:45.804Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:29:49.291Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:29:51.816Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:29:54.331Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:29:56.859Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:29:58.475Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:29:59.256Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:29:59.256Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:29:59.256Z] Top recommended movies for user id 72:
[2026-03-05T05:29:59.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:29:59.256Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:29:59.256Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:29:59.256Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:29:59.256Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:29:59.256Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24098.398 ms) ======
[2026-03-05T05:29:59.256Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-03-05T05:29:59.256Z] GC before operation: completed in 222.854 ms, heap usage 133.683 MB -> 92.126 MB.
[2026-03-05T05:30:02.752Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:30:07.277Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:30:10.740Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:30:14.223Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:30:15.842Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:30:18.342Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:30:20.842Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:30:22.459Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:30:23.237Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:30:23.237Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:30:23.237Z] Top recommended movies for user id 72:
[2026-03-05T05:30:23.237Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:30:23.237Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:30:23.237Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:30:23.237Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:30:23.237Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:30:23.237Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23959.727 ms) ======
[2026-03-05T05:30:23.237Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-03-05T05:30:24.016Z] GC before operation: completed in 216.692 ms, heap usage 269.068 MB -> 92.364 MB.
[2026-03-05T05:30:27.489Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:30:30.959Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:30:34.427Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:30:37.895Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:30:40.398Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:30:42.934Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:30:44.547Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:30:47.046Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:30:47.046Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:30:47.046Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:30:47.831Z] Top recommended movies for user id 72:
[2026-03-05T05:30:47.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:30:47.831Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:30:47.831Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:30:47.831Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:30:47.831Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:30:47.831Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23968.040 ms) ======
[2026-03-05T05:30:47.831Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-03-05T05:30:47.831Z] GC before operation: completed in 228.198 ms, heap usage 444.691 MB -> 92.384 MB.
[2026-03-05T05:30:51.305Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:30:54.767Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:30:59.295Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:31:02.767Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:31:04.393Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:31:06.903Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:31:09.466Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:31:11.086Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:31:11.866Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:31:11.866Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:31:11.866Z] Top recommended movies for user id 72:
[2026-03-05T05:31:11.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:31:11.866Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:31:11.866Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:31:11.866Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:31:11.866Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:31:11.866Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23962.339 ms) ======
[2026-03-05T05:31:11.866Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-03-05T05:31:11.866Z] GC before operation: completed in 229.584 ms, heap usage 455.527 MB -> 92.432 MB.
[2026-03-05T05:31:15.344Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:31:19.869Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:31:23.350Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:31:26.822Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:31:28.445Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:31:30.955Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:31:33.649Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:31:35.304Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:31:36.085Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:31:36.085Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:31:36.085Z] Top recommended movies for user id 72:
[2026-03-05T05:31:36.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:31:36.085Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:31:36.085Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:31:36.085Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:31:36.085Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:31:36.085Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24124.052 ms) ======
[2026-03-05T05:31:36.085Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-03-05T05:31:36.085Z] GC before operation: completed in 218.768 ms, heap usage 648.430 MB -> 92.466 MB.
[2026-03-05T05:31:39.749Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:31:43.311Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:31:47.836Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:31:51.383Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:31:52.999Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:31:55.508Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:31:58.040Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:31:59.672Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:32:00.456Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:32:00.456Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:32:00.456Z] Top recommended movies for user id 72:
[2026-03-05T05:32:00.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:32:00.456Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:32:00.456Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:32:00.456Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:32:00.456Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:32:00.456Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23979.650 ms) ======
[2026-03-05T05:32:00.456Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-03-05T05:32:00.456Z] GC before operation: completed in 225.162 ms, heap usage 455.105 MB -> 92.391 MB.
[2026-03-05T05:32:03.938Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T05:32:08.487Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T05:32:11.973Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T05:32:14.509Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T05:32:17.030Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T05:32:19.535Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T05:32:21.155Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T05:32:23.704Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T05:32:23.704Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-03-05T05:32:24.485Z] The best model improves the baseline by 14.43%.
[2026-03-05T05:32:24.485Z] Top recommended movies for user id 72:
[2026-03-05T05:32:24.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-03-05T05:32:24.485Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-03-05T05:32:24.485Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-03-05T05:32:24.485Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-03-05T05:32:24.485Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-03-05T05:32:24.485Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23737.445 ms) ======
[2026-03-05T05:32:25.265Z] -----------------------------------
[2026-03-05T05:32:25.265Z] renaissance-movie-lens_0_PASSED
[2026-03-05T05:32:25.265Z] -----------------------------------
[2026-03-05T05:32:25.265Z]
[2026-03-05T05:32:25.266Z] TEST TEARDOWN:
[2026-03-05T05:32:25.266Z] Nothing to be done for teardown.
[2026-03-05T05:32:25.266Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 05:32:24 2026 Epoch Time (ms): 1772688744547