renaissance-movie-lens_0
[2025-05-22T22:12:02.228Z] Running test renaissance-movie-lens_0 ...
[2025-05-22T22:12:02.228Z] ===============================================
[2025-05-22T22:12:02.228Z] renaissance-movie-lens_0 Start Time: Thu May 22 22:12:01 2025 Epoch Time (ms): 1747951921758
[2025-05-22T22:12:02.228Z] variation: NoOptions
[2025-05-22T22:12:02.228Z] JVM_OPTIONS:
[2025-05-22T22:12:02.228Z] { \
[2025-05-22T22:12:02.228Z] echo ""; echo "TEST SETUP:"; \
[2025-05-22T22:12:02.228Z] echo "Nothing to be done for setup."; \
[2025-05-22T22:12:02.228Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17479508538588/renaissance-movie-lens_0"; \
[2025-05-22T22:12:02.228Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17479508538588/renaissance-movie-lens_0"; \
[2025-05-22T22:12:02.228Z] echo ""; echo "TESTING:"; \
[2025-05-22T22:12:02.228Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17479508538588/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-22T22:12:02.228Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17479508538588/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-22T22:12:02.228Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-22T22:12:02.228Z] echo "Nothing to be done for teardown."; \
[2025-05-22T22:12:02.228Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17479508538588/TestTargetResult";
[2025-05-22T22:12:02.228Z]
[2025-05-22T22:12:02.228Z] TEST SETUP:
[2025-05-22T22:12:02.228Z] Nothing to be done for setup.
[2025-05-22T22:12:02.228Z]
[2025-05-22T22:12:02.228Z] TESTING:
[2025-05-22T22:12:03.179Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-05-22T22:12:03.179Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17479508538588/renaissance-movie-lens_0/launcher-221201-15184890854491027127/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-05-22T22:12:03.179Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-05-22T22:12:03.179Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-05-22T22:12:07.349Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-05-22T22:12:17.141Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-22T22:12:17.141Z] Training: 60056, validation: 20285, test: 19854
[2025-05-22T22:12:17.141Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-22T22:12:17.141Z] GC before operation: completed in 98.009 ms, heap usage 581.830 MB -> 76.772 MB.
[2025-05-22T22:12:22.504Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:12:25.516Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:12:28.532Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:12:32.686Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:12:35.707Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:12:37.665Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:12:39.623Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:12:41.576Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:12:42.528Z] 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.
[2025-05-22T22:12:42.528Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:12:42.528Z] Top recommended movies for user id 72:
[2025-05-22T22:12:42.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:12:42.528Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:12:42.528Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:12:42.528Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:12:42.528Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:12:42.528Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25178.179 ms) ======
[2025-05-22T22:12:42.528Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-22T22:12:42.528Z] GC before operation: completed in 182.143 ms, heap usage 699.845 MB -> 94.065 MB.
[2025-05-22T22:12:45.546Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:12:50.529Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:12:52.488Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:12:55.501Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:12:57.452Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:12:58.403Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:13:00.361Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:13:02.311Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:13:02.312Z] 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.
[2025-05-22T22:13:02.312Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:13:02.312Z] Top recommended movies for user id 72:
[2025-05-22T22:13:02.312Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:13:02.312Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:13:02.312Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:13:02.312Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:13:02.312Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:13:02.312Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19680.226 ms) ======
[2025-05-22T22:13:02.312Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-22T22:13:02.312Z] GC before operation: completed in 144.556 ms, heap usage 1.049 GB -> 95.473 MB.
[2025-05-22T22:13:06.456Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:13:09.468Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:13:11.419Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:13:14.431Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:13:15.381Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:13:17.329Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:13:19.276Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:13:20.225Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:13:20.225Z] 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.
[2025-05-22T22:13:20.225Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:13:21.176Z] Top recommended movies for user id 72:
[2025-05-22T22:13:21.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:13:21.176Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:13:21.176Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:13:21.176Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:13:21.176Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:13:21.176Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18190.885 ms) ======
[2025-05-22T22:13:21.176Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-22T22:13:21.176Z] GC before operation: completed in 134.024 ms, heap usage 576.408 MB -> 92.172 MB.
[2025-05-22T22:13:24.186Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:13:26.137Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:13:29.153Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:13:31.102Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:13:33.057Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:13:34.008Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:13:35.958Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:13:36.909Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:13:37.859Z] 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.
[2025-05-22T22:13:37.859Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:13:37.859Z] Top recommended movies for user id 72:
[2025-05-22T22:13:37.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:13:37.859Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:13:37.859Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:13:37.859Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:13:37.859Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:13:37.859Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16851.867 ms) ======
[2025-05-22T22:13:37.859Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-22T22:13:37.859Z] GC before operation: completed in 98.464 ms, heap usage 141.190 MB -> 91.958 MB.
[2025-05-22T22:13:40.872Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:13:42.820Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:13:44.770Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:13:47.420Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:13:49.375Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:13:50.326Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:13:52.276Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:13:54.226Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:13:54.226Z] 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.
[2025-05-22T22:13:54.226Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:13:54.226Z] Top recommended movies for user id 72:
[2025-05-22T22:13:54.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:13:54.226Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:13:54.226Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:13:54.226Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:13:54.226Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:13:54.226Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16355.783 ms) ======
[2025-05-22T22:13:54.226Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-22T22:13:54.226Z] GC before operation: completed in 102.526 ms, heap usage 341.791 MB -> 92.188 MB.
[2025-05-22T22:13:57.246Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:13:59.197Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:14:02.206Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:14:04.156Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:14:05.107Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:14:07.058Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:14:08.010Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:14:08.960Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:14:09.911Z] 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.
[2025-05-22T22:14:09.911Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:14:09.911Z] Top recommended movies for user id 72:
[2025-05-22T22:14:09.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:14:09.911Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:14:09.911Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:14:09.911Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:14:09.911Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:14:09.911Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15368.894 ms) ======
[2025-05-22T22:14:09.911Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-22T22:14:09.911Z] GC before operation: completed in 213.441 ms, heap usage 1.375 GB -> 97.613 MB.
[2025-05-22T22:14:12.922Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:14:14.874Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:14:16.999Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:14:20.010Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:14:20.961Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:14:21.913Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:14:23.862Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:14:24.812Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:14:24.812Z] 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.
[2025-05-22T22:14:24.812Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:14:24.812Z] Top recommended movies for user id 72:
[2025-05-22T22:14:24.812Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:14:24.812Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:14:24.812Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:14:24.812Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:14:24.812Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:14:24.812Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15086.982 ms) ======
[2025-05-22T22:14:24.812Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-22T22:14:24.812Z] GC before operation: completed in 265.834 ms, heap usage 254.356 MB -> 92.501 MB.
[2025-05-22T22:14:26.763Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:14:28.720Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:14:30.667Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:14:32.618Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:14:34.567Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:14:35.519Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:14:36.470Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:14:37.422Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:14:37.422Z] 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.
[2025-05-22T22:14:37.422Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:14:38.373Z] Top recommended movies for user id 72:
[2025-05-22T22:14:38.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:14:38.373Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:14:38.373Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:14:38.373Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:14:38.373Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:14:38.373Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (12731.577 ms) ======
[2025-05-22T22:14:38.373Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-22T22:14:38.373Z] GC before operation: completed in 101.409 ms, heap usage 654.856 MB -> 93.056 MB.
[2025-05-22T22:14:40.322Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:14:41.725Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:14:43.674Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:14:45.624Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:14:46.574Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:14:48.525Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:14:49.493Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:14:50.443Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:14:50.443Z] 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.
[2025-05-22T22:14:50.443Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:14:50.443Z] Top recommended movies for user id 72:
[2025-05-22T22:14:50.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:14:50.443Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:14:50.443Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:14:50.443Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:14:50.443Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:14:50.443Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12693.098 ms) ======
[2025-05-22T22:14:50.443Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-22T22:14:51.392Z] GC before operation: completed in 264.123 ms, heap usage 342.748 MB -> 92.646 MB.
[2025-05-22T22:14:53.341Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:14:55.386Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:14:57.337Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:14:59.284Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:15:01.234Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:15:02.183Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:15:03.132Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:15:04.081Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:15:04.081Z] 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.
[2025-05-22T22:15:04.081Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:15:04.081Z] Top recommended movies for user id 72:
[2025-05-22T22:15:04.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:15:04.081Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:15:04.081Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:15:04.081Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:15:04.081Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:15:04.081Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13445.708 ms) ======
[2025-05-22T22:15:04.081Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-22T22:15:05.030Z] GC before operation: completed in 98.254 ms, heap usage 453.208 MB -> 93.012 MB.
[2025-05-22T22:15:05.980Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:15:08.990Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:15:11.140Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:15:13.090Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:15:14.039Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:15:15.114Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:15:16.064Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:15:18.114Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:15:18.114Z] 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.
[2025-05-22T22:15:18.114Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:15:18.114Z] Top recommended movies for user id 72:
[2025-05-22T22:15:18.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:15:18.114Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:15:18.114Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:15:18.114Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:15:18.114Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:15:18.114Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13383.139 ms) ======
[2025-05-22T22:15:18.114Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-22T22:15:18.114Z] GC before operation: completed in 89.337 ms, heap usage 235.876 MB -> 92.343 MB.
[2025-05-22T22:15:20.064Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:15:22.014Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:15:23.963Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:15:25.913Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:15:26.861Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:15:27.811Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:15:28.761Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:15:30.850Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:15:30.850Z] 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.
[2025-05-22T22:15:30.850Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:15:30.850Z] Top recommended movies for user id 72:
[2025-05-22T22:15:30.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:15:30.850Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:15:30.850Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:15:30.850Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:15:30.850Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:15:30.850Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12823.791 ms) ======
[2025-05-22T22:15:30.850Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-22T22:15:30.850Z] GC before operation: completed in 76.473 ms, heap usage 332.493 MB -> 92.834 MB.
[2025-05-22T22:15:32.800Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:15:34.910Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:15:37.784Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:15:38.740Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:15:40.689Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:15:41.718Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:15:42.667Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:15:44.618Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:15:44.618Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-22T22:15:44.618Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:15:44.618Z] Top recommended movies for user id 72:
[2025-05-22T22:15:44.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:15:44.618Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:15:44.618Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:15:44.618Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:15:44.618Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:15:44.618Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13532.416 ms) ======
[2025-05-22T22:15:44.618Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-22T22:15:44.618Z] GC before operation: completed in 96.647 ms, heap usage 217.553 MB -> 92.656 MB.
[2025-05-22T22:15:46.569Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:15:48.709Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:15:50.662Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:15:52.612Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:15:53.562Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:15:55.512Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:15:56.462Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:15:57.411Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:15:57.411Z] 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.
[2025-05-22T22:15:57.411Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:15:57.411Z] Top recommended movies for user id 72:
[2025-05-22T22:15:57.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:15:57.411Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:15:57.411Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:15:57.411Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:15:57.411Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:15:57.411Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13044.022 ms) ======
[2025-05-22T22:15:57.411Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-22T22:15:57.411Z] GC before operation: completed in 95.089 ms, heap usage 186.453 MB -> 92.580 MB.
[2025-05-22T22:15:59.361Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:16:01.317Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:16:03.298Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:16:05.246Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:16:06.195Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:16:07.143Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:16:08.092Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:16:10.040Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:16:10.040Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-22T22:16:10.040Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:16:10.040Z] Top recommended movies for user id 72:
[2025-05-22T22:16:10.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:16:10.040Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:16:10.040Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:16:10.040Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:16:10.040Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:16:10.040Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12211.988 ms) ======
[2025-05-22T22:16:10.040Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-22T22:16:10.040Z] GC before operation: completed in 85.379 ms, heap usage 987.469 MB -> 96.824 MB.
[2025-05-22T22:16:11.988Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:16:13.936Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:16:14.885Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:16:16.832Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:16:17.782Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:16:18.732Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:16:20.689Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:16:21.640Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:16:21.640Z] 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.
[2025-05-22T22:16:21.640Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:16:21.640Z] Top recommended movies for user id 72:
[2025-05-22T22:16:21.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:16:21.641Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:16:21.641Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:16:21.641Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:16:21.641Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:16:21.641Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11620.466 ms) ======
[2025-05-22T22:16:21.641Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-22T22:16:21.641Z] GC before operation: completed in 91.516 ms, heap usage 118.585 MB -> 97.348 MB.
[2025-05-22T22:16:23.597Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:16:25.550Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:16:27.499Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:16:28.450Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:16:29.400Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:16:31.926Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:16:31.926Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:16:32.878Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:16:32.878Z] 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.
[2025-05-22T22:16:32.878Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:16:32.878Z] Top recommended movies for user id 72:
[2025-05-22T22:16:32.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:16:32.878Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:16:32.878Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:16:32.878Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:16:32.878Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:16:32.878Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11530.982 ms) ======
[2025-05-22T22:16:32.878Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-22T22:16:32.878Z] GC before operation: completed in 91.136 ms, heap usage 317.911 MB -> 92.883 MB.
[2025-05-22T22:16:34.827Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:16:36.776Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:16:38.723Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:16:40.674Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:16:41.622Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:16:42.574Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:16:43.526Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:16:44.477Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:16:44.477Z] 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.
[2025-05-22T22:16:44.477Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:16:44.477Z] Top recommended movies for user id 72:
[2025-05-22T22:16:44.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:16:44.477Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:16:44.477Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:16:44.477Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:16:44.477Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:16:44.477Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11336.285 ms) ======
[2025-05-22T22:16:44.477Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-22T22:16:44.477Z] GC before operation: completed in 82.530 ms, heap usage 257.237 MB -> 92.646 MB.
[2025-05-22T22:16:46.431Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:16:48.382Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:16:49.507Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:16:51.454Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:16:52.400Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:16:53.349Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:16:55.298Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:16:56.254Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:16:56.254Z] 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.
[2025-05-22T22:16:56.254Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:16:56.254Z] Top recommended movies for user id 72:
[2025-05-22T22:16:56.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:16:56.254Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:16:56.254Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:16:56.254Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:16:56.254Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:16:56.254Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11516.554 ms) ======
[2025-05-22T22:16:56.254Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-22T22:16:56.254Z] GC before operation: completed in 84.081 ms, heap usage 256.573 MB -> 92.873 MB.
[2025-05-22T22:16:58.206Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-22T22:17:00.159Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-22T22:17:01.108Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-22T22:17:03.060Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-22T22:17:04.008Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-22T22:17:04.956Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-22T22:17:05.904Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-22T22:17:07.851Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-22T22:17:07.851Z] 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.
[2025-05-22T22:17:07.851Z] The best model improves the baseline by 14.43%.
[2025-05-22T22:17:07.851Z] Top recommended movies for user id 72:
[2025-05-22T22:17:07.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-22T22:17:07.851Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-22T22:17:07.851Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-22T22:17:07.851Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-22T22:17:07.851Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-22T22:17:07.851Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11303.676 ms) ======
[2025-05-22T22:17:08.799Z] -----------------------------------
[2025-05-22T22:17:08.799Z] renaissance-movie-lens_0_PASSED
[2025-05-22T22:17:08.799Z] -----------------------------------
[2025-05-22T22:17:08.799Z]
[2025-05-22T22:17:08.799Z] TEST TEARDOWN:
[2025-05-22T22:17:08.799Z] Nothing to be done for teardown.
[2025-05-22T22:17:08.799Z] renaissance-movie-lens_0 Finish Time: Thu May 22 22:17:08 2025 Epoch Time (ms): 1747952228135