renaissance-movie-lens_0
[2025-05-01T09:07:09.396Z] Running test renaissance-movie-lens_0 ...
[2025-05-01T09:07:09.396Z] ===============================================
[2025-05-01T09:07:09.396Z] renaissance-movie-lens_0 Start Time: Thu May 1 09:07:08 2025 Epoch Time (ms): 1746090428980
[2025-05-01T09:07:09.396Z] variation: NoOptions
[2025-05-01T09:07:09.396Z] JVM_OPTIONS:
[2025-05-01T09:07:09.396Z] { \
[2025-05-01T09:07:09.396Z] echo ""; echo "TEST SETUP:"; \
[2025-05-01T09:07:09.396Z] echo "Nothing to be done for setup."; \
[2025-05-01T09:07:09.396Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17460888755342/renaissance-movie-lens_0"; \
[2025-05-01T09:07:09.396Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17460888755342/renaissance-movie-lens_0"; \
[2025-05-01T09:07:09.396Z] echo ""; echo "TESTING:"; \
[2025-05-01T09:07:09.396Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17460888755342/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-01T09:07:09.396Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17460888755342/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-01T09:07:09.396Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-01T09:07:09.396Z] echo "Nothing to be done for teardown."; \
[2025-05-01T09:07:09.396Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17460888755342/TestTargetResult";
[2025-05-01T09:07:09.396Z]
[2025-05-01T09:07:09.396Z] TEST SETUP:
[2025-05-01T09:07:09.396Z] Nothing to be done for setup.
[2025-05-01T09:07:09.396Z]
[2025-05-01T09:07:09.396Z] TESTING:
[2025-05-01T09:07:19.316Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-05-01T09:07:37.676Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-01T09:07:37.676Z] Training: 60056, validation: 20285, test: 19854
[2025-05-01T09:07:37.676Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-01T09:07:37.676Z] GC before operation: completed in 231.595 ms, heap usage 385.988 MB -> 77.454 MB.
[2025-05-01T09:07:47.541Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:07:53.968Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:08:02.172Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:08:03.134Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:08:08.788Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:08:09.752Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:08:11.735Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:08:14.768Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:08:14.768Z] 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.
[2025-05-01T09:08:14.769Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:08:15.727Z] Top recommended movies for user id 72:
[2025-05-01T09:08:15.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:08:15.727Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:08:15.727Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:08:15.727Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:08:15.727Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:08:15.727Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (37973.887 ms) ======
[2025-05-01T09:08:15.727Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-01T09:08:15.727Z] GC before operation: completed in 258.906 ms, heap usage 1.019 GB -> 102.291 MB.
[2025-05-01T09:08:20.102Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:08:23.131Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:08:44.747Z] Cannot contact test-osuosl-ubuntu2204-aarch64-1: java.lang.InterruptedException
[2025-05-01T09:08:49.571Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:08:49.571Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:08:49.571Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:08:49.571Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:08:49.571Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:08:49.571Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:08:49.571Z] 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.
[2025-05-01T09:08:49.571Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:08:49.571Z] Top recommended movies for user id 72:
[2025-05-01T09:08:49.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:08:49.571Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:08:49.571Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:08:49.571Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:08:49.571Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:08:49.571Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23136.922 ms) ======
[2025-05-01T09:08:49.571Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-01T09:08:49.571Z] GC before operation: completed in 157.768 ms, heap usage 1.151 GB -> 98.659 MB.
[2025-05-01T09:08:49.571Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:08:49.571Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:08:49.571Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:08:55.193Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:08:56.163Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:08:56.163Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:08:57.117Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:08:59.092Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:08:59.092Z] 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.
[2025-05-01T09:08:59.092Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:08:59.092Z] Top recommended movies for user id 72:
[2025-05-01T09:08:59.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:08:59.092Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:08:59.092Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:08:59.092Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:08:59.092Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:08:59.092Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20488.806 ms) ======
[2025-05-01T09:08:59.092Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-01T09:08:59.092Z] GC before operation: completed in 132.578 ms, heap usage 1.410 GB -> 99.358 MB.
[2025-05-01T09:09:02.189Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:09:05.218Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:09:08.367Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:09:11.396Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:09:13.356Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:09:15.323Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:09:17.469Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:09:19.433Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:09:20.398Z] 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.
[2025-05-01T09:09:20.398Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:09:20.398Z] Top recommended movies for user id 72:
[2025-05-01T09:09:20.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:09:20.398Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:09:20.398Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:09:20.398Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:09:20.398Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:09:20.398Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20763.207 ms) ======
[2025-05-01T09:09:20.398Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-01T09:09:20.398Z] GC before operation: completed in 138.298 ms, heap usage 391.214 MB -> 92.747 MB.
[2025-05-01T09:09:23.436Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:09:26.471Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:09:30.647Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:09:33.683Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:09:35.648Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:09:37.607Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:09:39.581Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:09:41.543Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:09:41.543Z] 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.
[2025-05-01T09:09:41.543Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:09:41.543Z] Top recommended movies for user id 72:
[2025-05-01T09:09:41.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:09:41.543Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:09:41.543Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:09:41.543Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:09:41.543Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:09:41.543Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21453.987 ms) ======
[2025-05-01T09:09:41.543Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-01T09:09:41.543Z] GC before operation: completed in 131.458 ms, heap usage 128.235 MB -> 95.787 MB.
[2025-05-01T09:09:45.727Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:09:49.909Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:09:51.875Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:09:55.004Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:09:56.971Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:09:58.939Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:10:00.903Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:10:02.883Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:10:03.844Z] 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.
[2025-05-01T09:10:03.844Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:10:03.844Z] Top recommended movies for user id 72:
[2025-05-01T09:10:03.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:10:03.844Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:10:03.844Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:10:03.844Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:10:03.844Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:10:03.844Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21940.454 ms) ======
[2025-05-01T09:10:03.844Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-01T09:10:03.844Z] GC before operation: completed in 124.368 ms, heap usage 221.604 MB -> 92.798 MB.
[2025-05-01T09:10:06.894Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:10:11.064Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:10:13.027Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:10:16.057Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:10:17.014Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:10:18.979Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:10:20.941Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:10:22.910Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:10:22.910Z] 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.
[2025-05-01T09:10:22.910Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:10:22.910Z] Top recommended movies for user id 72:
[2025-05-01T09:10:22.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:10:22.910Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:10:22.910Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:10:22.910Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:10:22.910Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:10:22.910Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19308.501 ms) ======
[2025-05-01T09:10:22.910Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-01T09:10:23.866Z] GC before operation: completed in 132.599 ms, heap usage 1.162 GB -> 97.574 MB.
[2025-05-01T09:10:25.833Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:10:28.870Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:10:31.911Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:10:34.950Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:10:36.918Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:10:37.877Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:10:39.851Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:10:41.812Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:10:42.773Z] 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.
[2025-05-01T09:10:42.773Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:10:42.773Z] Top recommended movies for user id 72:
[2025-05-01T09:10:42.773Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:10:42.773Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:10:42.773Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:10:42.773Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:10:42.773Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:10:42.773Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19051.501 ms) ======
[2025-05-01T09:10:42.773Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-01T09:10:42.773Z] GC before operation: completed in 181.036 ms, heap usage 1.286 GB -> 100.428 MB.
[2025-05-01T09:10:45.818Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:10:48.857Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:10:51.887Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:10:54.929Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:10:55.893Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:10:57.870Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:10:59.829Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:11:01.842Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:11:01.842Z] 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.
[2025-05-01T09:11:01.842Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:11:02.798Z] Top recommended movies for user id 72:
[2025-05-01T09:11:02.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:11:02.798Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:11:02.798Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:11:02.798Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:11:02.798Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:11:02.798Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19776.855 ms) ======
[2025-05-01T09:11:02.798Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-01T09:11:02.798Z] GC before operation: completed in 157.686 ms, heap usage 724.695 MB -> 96.666 MB.
[2025-05-01T09:11:05.832Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:11:08.861Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:11:11.891Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:11:14.918Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:11:16.879Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:11:17.835Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:11:19.795Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:11:21.928Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:11:21.928Z] 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.
[2025-05-01T09:11:21.928Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:11:21.928Z] Top recommended movies for user id 72:
[2025-05-01T09:11:21.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:11:21.928Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:11:21.928Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:11:21.928Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:11:21.928Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:11:21.928Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19745.369 ms) ======
[2025-05-01T09:11:21.928Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-01T09:11:22.883Z] GC before operation: completed in 132.014 ms, heap usage 811.668 MB -> 100.504 MB.
[2025-05-01T09:11:25.905Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:11:28.926Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:11:31.950Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:11:33.911Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:11:35.873Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:11:37.833Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:11:39.793Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:11:40.747Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:11:41.701Z] 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.
[2025-05-01T09:11:41.701Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:11:41.701Z] Top recommended movies for user id 72:
[2025-05-01T09:11:41.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:11:41.701Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:11:41.701Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:11:41.701Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:11:41.701Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:11:41.701Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19106.755 ms) ======
[2025-05-01T09:11:41.701Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-01T09:11:41.701Z] GC before operation: completed in 181.218 ms, heap usage 918.329 MB -> 99.101 MB.
[2025-05-01T09:11:44.722Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:11:47.746Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:11:50.772Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:11:53.796Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:11:55.755Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:11:58.780Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:12:00.739Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:12:02.704Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:12:02.704Z] 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.
[2025-05-01T09:12:03.663Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:12:03.663Z] Top recommended movies for user id 72:
[2025-05-01T09:12:03.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:12:03.663Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:12:03.663Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:12:03.663Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:12:03.663Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:12:03.663Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21601.369 ms) ======
[2025-05-01T09:12:03.663Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-01T09:12:03.663Z] GC before operation: completed in 140.619 ms, heap usage 587.858 MB -> 93.329 MB.
[2025-05-01T09:12:07.827Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:12:10.848Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:12:13.869Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:12:17.115Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:12:18.070Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:12:20.027Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:12:22.004Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:12:23.959Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:12:23.959Z] 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.
[2025-05-01T09:12:23.959Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:12:23.959Z] Top recommended movies for user id 72:
[2025-05-01T09:12:23.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:12:23.959Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:12:23.959Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:12:23.959Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:12:23.959Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:12:23.959Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20802.658 ms) ======
[2025-05-01T09:12:23.959Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-01T09:12:24.913Z] GC before operation: completed in 230.910 ms, heap usage 1.040 GB -> 100.045 MB.
[2025-05-01T09:12:26.877Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:12:29.901Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:12:32.922Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:12:35.946Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:12:37.905Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:12:39.864Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:12:41.826Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:12:43.786Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:12:43.786Z] 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.
[2025-05-01T09:12:43.786Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:12:44.741Z] Top recommended movies for user id 72:
[2025-05-01T09:12:44.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:12:44.741Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:12:44.741Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:12:44.741Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:12:44.741Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:12:44.741Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19784.287 ms) ======
[2025-05-01T09:12:44.741Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-01T09:12:44.741Z] GC before operation: completed in 134.396 ms, heap usage 1.390 GB -> 101.395 MB.
[2025-05-01T09:12:47.761Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:12:49.725Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:12:52.748Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:12:55.774Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:12:57.730Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:12:58.684Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:13:00.641Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:13:02.596Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:13:02.596Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-01T09:13:02.596Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:13:03.552Z] Top recommended movies for user id 72:
[2025-05-01T09:13:03.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:13:03.552Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:13:03.552Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:13:03.552Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:13:03.552Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:13:03.552Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18659.224 ms) ======
[2025-05-01T09:13:03.552Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-01T09:13:03.552Z] GC before operation: completed in 188.084 ms, heap usage 487.229 MB -> 93.408 MB.
[2025-05-01T09:13:06.575Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:13:08.532Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:13:11.553Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:13:14.579Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:13:15.533Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:13:17.596Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:13:19.555Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:13:21.513Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:13:21.513Z] 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.
[2025-05-01T09:13:21.513Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:13:21.513Z] Top recommended movies for user id 72:
[2025-05-01T09:13:21.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:13:21.513Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:13:21.513Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:13:21.513Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:13:21.513Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:13:21.513Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18344.492 ms) ======
[2025-05-01T09:13:21.513Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-01T09:13:21.513Z] GC before operation: completed in 121.688 ms, heap usage 247.190 MB -> 92.992 MB.
[2025-05-01T09:13:24.539Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:13:27.563Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:13:29.525Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:13:32.545Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:13:34.503Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:13:35.461Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:13:37.420Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:13:39.377Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:13:39.377Z] 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.
[2025-05-01T09:13:39.377Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:13:39.377Z] Top recommended movies for user id 72:
[2025-05-01T09:13:39.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:13:39.377Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:13:39.377Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:13:39.378Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:13:39.378Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:13:39.378Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17923.489 ms) ======
[2025-05-01T09:13:39.378Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-01T09:13:40.336Z] GC before operation: completed in 152.206 ms, heap usage 1.467 GB -> 98.229 MB.
[2025-05-01T09:13:42.293Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:13:45.318Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:13:48.339Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:13:50.297Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:13:52.255Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:13:54.214Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:13:56.173Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:13:58.133Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:13:59.088Z] 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.
[2025-05-01T09:13:59.088Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:13:59.088Z] Top recommended movies for user id 72:
[2025-05-01T09:13:59.088Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:13:59.088Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:13:59.088Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:13:59.088Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:13:59.088Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:13:59.088Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19353.375 ms) ======
[2025-05-01T09:13:59.088Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-01T09:13:59.088Z] GC before operation: completed in 139.318 ms, heap usage 259.277 MB -> 92.945 MB.
[2025-05-01T09:14:03.246Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:14:06.271Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:14:08.228Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:14:11.252Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:14:13.634Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:14:14.610Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:14:16.643Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:14:17.597Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:14:18.552Z] 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.
[2025-05-01T09:14:18.552Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:14:18.552Z] Top recommended movies for user id 72:
[2025-05-01T09:14:18.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:14:18.552Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:14:18.552Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:14:18.552Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:14:18.552Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:14:18.552Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19278.422 ms) ======
[2025-05-01T09:14:18.552Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-01T09:14:18.552Z] GC before operation: completed in 155.924 ms, heap usage 311.184 MB -> 93.074 MB.
[2025-05-01T09:14:21.576Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-01T09:14:24.598Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-01T09:14:27.620Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-01T09:14:29.578Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-01T09:14:31.537Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-01T09:14:33.501Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-01T09:14:35.464Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-01T09:14:36.420Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-01T09:14:37.373Z] 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.
[2025-05-01T09:14:37.373Z] The best model improves the baseline by 14.43%.
[2025-05-01T09:14:37.373Z] Top recommended movies for user id 72:
[2025-05-01T09:14:37.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-01T09:14:37.373Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-01T09:14:37.373Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-01T09:14:37.373Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-01T09:14:37.373Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-01T09:14:37.373Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18517.038 ms) ======
[2025-05-01T09:14:38.327Z] -----------------------------------
[2025-05-01T09:14:38.327Z] renaissance-movie-lens_0_PASSED
[2025-05-01T09:14:38.327Z] -----------------------------------
[2025-05-01T09:14:38.327Z]
[2025-05-01T09:14:38.327Z] TEST TEARDOWN:
[2025-05-01T09:14:38.327Z] Nothing to be done for teardown.
[2025-05-01T09:14:38.327Z] renaissance-movie-lens_0 Finish Time: Thu May 1 09:14:38 2025 Epoch Time (ms): 1746090878086