renaissance-movie-lens_0
[2025-11-26T22:37:30.004Z] Running test renaissance-movie-lens_0 ...
[2025-11-26T22:37:30.004Z] ===============================================
[2025-11-26T22:37:30.004Z] renaissance-movie-lens_0 Start Time: Wed Nov 26 22:37:29 2025 Epoch Time (ms): 1764196649119
[2025-11-26T22:37:30.004Z] variation: NoOptions
[2025-11-26T22:37:30.004Z] JVM_OPTIONS:
[2025-11-26T22:37:30.004Z] { \
[2025-11-26T22:37:30.004Z] echo ""; echo "TEST SETUP:"; \
[2025-11-26T22:37:30.004Z] echo "Nothing to be done for setup."; \
[2025-11-26T22:37:30.004Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17641953159956/renaissance-movie-lens_0"; \
[2025-11-26T22:37:30.004Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17641953159956/renaissance-movie-lens_0"; \
[2025-11-26T22:37:30.004Z] echo ""; echo "TESTING:"; \
[2025-11-26T22:37:30.004Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17641953159956/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-11-26T22:37:30.004Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17641953159956/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-11-26T22:37:30.004Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-11-26T22:37:30.004Z] echo "Nothing to be done for teardown."; \
[2025-11-26T22:37:30.004Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17641953159956/TestTargetResult";
[2025-11-26T22:37:30.004Z]
[2025-11-26T22:37:30.004Z] TEST SETUP:
[2025-11-26T22:37:30.004Z] Nothing to be done for setup.
[2025-11-26T22:37:30.004Z]
[2025-11-26T22:37:30.004Z] TESTING:
[2025-11-26T22:37:36.907Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-11-26T22:37:48.625Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-11-26T22:37:48.625Z] Training: 60056, validation: 20285, test: 19854
[2025-11-26T22:37:48.625Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-11-26T22:37:48.625Z] GC before operation: completed in 140.850 ms, heap usage 430.522 MB -> 75.586 MB.
[2025-11-26T22:37:53.118Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:37:56.569Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:38:00.145Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:38:03.581Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:38:05.180Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:38:07.667Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:38:09.263Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:38:10.883Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:38:11.675Z] 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.
[2025-11-26T22:38:11.675Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:38:11.675Z] Top recommended movies for user id 72:
[2025-11-26T22:38:11.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:38:11.675Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:38:11.675Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:38:11.675Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:38:11.675Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:38:11.675Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23630.879 ms) ======
[2025-11-26T22:38:11.675Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-11-26T22:38:11.675Z] GC before operation: completed in 188.593 ms, heap usage 1.876 GB -> 95.674 MB.
[2025-11-26T22:38:15.119Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:38:17.594Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:38:21.034Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:38:23.514Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:38:25.103Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:38:27.589Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:38:29.186Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:38:30.787Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:38:30.787Z] 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.
[2025-11-26T22:38:30.787Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:38:31.564Z] Top recommended movies for user id 72:
[2025-11-26T22:38:31.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:38:31.564Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:38:31.564Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:38:31.564Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:38:31.564Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:38:31.564Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19462.400 ms) ======
[2025-11-26T22:38:31.564Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-11-26T22:38:31.564Z] GC before operation: completed in 157.860 ms, heap usage 2.610 GB -> 96.373 MB.
[2025-11-26T22:38:34.157Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:38:37.625Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:38:40.109Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:38:43.533Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:38:45.133Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:38:47.636Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:38:49.227Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:38:50.885Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:38:51.661Z] 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.
[2025-11-26T22:38:51.661Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:38:51.661Z] Top recommended movies for user id 72:
[2025-11-26T22:38:51.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:38:51.661Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:38:51.661Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:38:51.661Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:38:51.661Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:38:51.661Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20223.824 ms) ======
[2025-11-26T22:38:51.661Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-11-26T22:38:51.661Z] GC before operation: completed in 165.322 ms, heap usage 322.923 MB -> 90.833 MB.
[2025-11-26T22:38:55.107Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:38:58.562Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:39:01.058Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:39:04.525Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:39:06.127Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:39:07.729Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:39:10.220Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:39:11.831Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:39:11.831Z] 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.
[2025-11-26T22:39:12.606Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:39:12.606Z] Top recommended movies for user id 72:
[2025-11-26T22:39:12.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:39:12.606Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:39:12.606Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:39:12.606Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:39:12.606Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:39:12.606Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20663.678 ms) ======
[2025-11-26T22:39:12.606Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-11-26T22:39:12.606Z] GC before operation: completed in 149.407 ms, heap usage 248.229 MB -> 91.012 MB.
[2025-11-26T22:39:16.055Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:39:18.545Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:39:22.018Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:39:25.467Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:39:27.073Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:39:28.690Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:39:30.300Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:39:31.910Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:39:32.689Z] 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.
[2025-11-26T22:39:32.689Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:39:32.689Z] Top recommended movies for user id 72:
[2025-11-26T22:39:32.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:39:32.689Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:39:32.689Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:39:32.689Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:39:32.689Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:39:32.689Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20016.763 ms) ======
[2025-11-26T22:39:32.689Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-11-26T22:39:32.689Z] GC before operation: completed in 138.884 ms, heap usage 175.593 MB -> 91.129 MB.
[2025-11-26T22:39:36.144Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:39:38.651Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:39:42.114Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:39:44.645Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:39:46.260Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:39:47.891Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:39:50.420Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:39:52.034Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:39:52.034Z] 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.
[2025-11-26T22:39:52.034Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:39:52.034Z] Top recommended movies for user id 72:
[2025-11-26T22:39:52.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:39:52.034Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:39:52.034Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:39:52.034Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:39:52.034Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:39:52.034Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19447.583 ms) ======
[2025-11-26T22:39:52.034Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-11-26T22:39:52.034Z] GC before operation: completed in 157.060 ms, heap usage 214.746 MB -> 91.704 MB.
[2025-11-26T22:39:55.492Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:39:57.990Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:40:01.455Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:40:03.985Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:40:05.594Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:40:08.087Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:40:09.696Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:40:11.305Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:40:12.089Z] 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.
[2025-11-26T22:40:12.089Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:40:12.089Z] Top recommended movies for user id 72:
[2025-11-26T22:40:12.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:40:12.089Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:40:12.089Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:40:12.089Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:40:12.089Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:40:12.089Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19764.543 ms) ======
[2025-11-26T22:40:12.089Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-11-26T22:40:12.089Z] GC before operation: completed in 128.054 ms, heap usage 375.794 MB -> 91.794 MB.
[2025-11-26T22:40:15.552Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:40:18.243Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:40:21.703Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:40:24.194Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:40:25.804Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:40:28.303Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:40:29.911Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:40:31.516Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:40:31.516Z] 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.
[2025-11-26T22:40:32.291Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:40:32.291Z] Top recommended movies for user id 72:
[2025-11-26T22:40:32.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:40:32.291Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:40:32.291Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:40:32.291Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:40:32.291Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:40:32.291Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19849.484 ms) ======
[2025-11-26T22:40:32.291Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-11-26T22:40:32.291Z] GC before operation: completed in 156.893 ms, heap usage 319.604 MB -> 91.994 MB.
[2025-11-26T22:40:34.820Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:40:38.288Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:40:41.750Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:40:44.248Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:40:45.853Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:40:48.357Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:40:49.959Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:40:51.565Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:40:51.565Z] 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.
[2025-11-26T22:40:51.565Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:40:52.349Z] Top recommended movies for user id 72:
[2025-11-26T22:40:52.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:40:52.349Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:40:52.349Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:40:52.349Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:40:52.349Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:40:52.349Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19793.391 ms) ======
[2025-11-26T22:40:52.349Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-11-26T22:40:52.349Z] GC before operation: completed in 148.334 ms, heap usage 1.429 GB -> 96.979 MB.
[2025-11-26T22:40:54.843Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:40:58.314Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:41:01.775Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:41:04.342Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:41:05.948Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:41:07.550Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:41:10.054Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:41:11.675Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:41:11.675Z] 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.
[2025-11-26T22:41:11.675Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:41:11.675Z] Top recommended movies for user id 72:
[2025-11-26T22:41:11.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:41:11.675Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:41:11.675Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:41:11.675Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:41:11.675Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:41:11.675Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19760.045 ms) ======
[2025-11-26T22:41:11.675Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-11-26T22:41:12.452Z] GC before operation: completed in 127.927 ms, heap usage 381.177 MB -> 92.329 MB.
[2025-11-26T22:41:14.954Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:41:18.437Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:41:21.898Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:41:24.395Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:41:26.005Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:41:28.504Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:41:30.109Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:41:31.712Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:41:31.712Z] 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.
[2025-11-26T22:41:31.712Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:41:32.488Z] Top recommended movies for user id 72:
[2025-11-26T22:41:32.488Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:41:32.488Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:41:32.488Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:41:32.488Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:41:32.488Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:41:32.488Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20150.976 ms) ======
[2025-11-26T22:41:32.488Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-11-26T22:41:32.488Z] GC before operation: completed in 122.432 ms, heap usage 319.526 MB -> 91.927 MB.
[2025-11-26T22:41:34.979Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:41:38.433Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:41:41.888Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:41:45.347Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:41:46.953Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:41:48.554Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:41:50.177Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:41:51.781Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:41:52.562Z] 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.
[2025-11-26T22:41:52.562Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:41:52.562Z] Top recommended movies for user id 72:
[2025-11-26T22:41:52.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:41:52.562Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:41:52.562Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:41:52.562Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:41:52.562Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:41:52.562Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20156.555 ms) ======
[2025-11-26T22:41:52.562Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-11-26T22:41:52.562Z] GC before operation: completed in 159.238 ms, heap usage 2.586 GB -> 98.152 MB.
[2025-11-26T22:41:56.036Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:41:58.530Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:42:01.043Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:42:04.515Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:42:06.133Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:42:07.745Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:42:09.348Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:42:10.955Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:42:10.955Z] 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.
[2025-11-26T22:42:10.955Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:42:11.734Z] Top recommended movies for user id 72:
[2025-11-26T22:42:11.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:42:11.734Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:42:11.734Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:42:11.734Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:42:11.734Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:42:11.734Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18676.750 ms) ======
[2025-11-26T22:42:11.734Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-11-26T22:42:11.734Z] GC before operation: completed in 153.240 ms, heap usage 2.608 GB -> 98.569 MB.
[2025-11-26T22:42:14.228Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:42:17.702Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:42:20.191Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:42:22.687Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:42:25.179Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:42:26.790Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:42:28.405Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:42:30.021Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:42:30.021Z] 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.
[2025-11-26T22:42:30.021Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:42:30.021Z] Top recommended movies for user id 72:
[2025-11-26T22:42:30.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:42:30.021Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:42:30.021Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:42:30.021Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:42:30.021Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:42:30.021Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18763.381 ms) ======
[2025-11-26T22:42:30.021Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-11-26T22:42:30.797Z] GC before operation: completed in 141.791 ms, heap usage 3.225 GB -> 98.380 MB.
[2025-11-26T22:42:33.292Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:42:36.764Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:42:39.266Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:42:42.728Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:42:44.332Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:42:45.940Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:42:48.448Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:42:50.054Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:42:50.054Z] 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.
[2025-11-26T22:42:50.054Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:42:50.054Z] Top recommended movies for user id 72:
[2025-11-26T22:42:50.054Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:42:50.054Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:42:50.054Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:42:50.054Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:42:50.054Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:42:50.054Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19917.635 ms) ======
[2025-11-26T22:42:50.054Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-11-26T22:42:50.834Z] GC before operation: completed in 123.849 ms, heap usage 370.666 MB -> 92.131 MB.
[2025-11-26T22:42:53.326Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:42:56.800Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:42:59.311Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:43:01.808Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:43:03.475Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:43:05.083Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:43:07.581Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:43:09.202Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:43:09.203Z] 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.
[2025-11-26T22:43:09.203Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:43:09.203Z] Top recommended movies for user id 72:
[2025-11-26T22:43:09.203Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:43:09.203Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:43:09.203Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:43:09.203Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:43:09.203Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:43:09.203Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18910.474 ms) ======
[2025-11-26T22:43:09.203Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-11-26T22:43:09.203Z] GC before operation: completed in 135.259 ms, heap usage 1.454 GB -> 97.148 MB.
[2025-11-26T22:43:12.654Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:43:15.153Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:43:18.603Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:43:21.738Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:43:24.216Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:43:24.995Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:43:27.522Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:43:29.133Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:43:29.133Z] 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.
[2025-11-26T22:43:29.133Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:43:29.909Z] Top recommended movies for user id 72:
[2025-11-26T22:43:29.909Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:43:29.909Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:43:29.909Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:43:29.909Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:43:29.909Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:43:29.909Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20046.450 ms) ======
[2025-11-26T22:43:29.909Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-11-26T22:43:29.909Z] GC before operation: completed in 134.078 ms, heap usage 1.487 GB -> 97.198 MB.
[2025-11-26T22:43:32.403Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:43:35.861Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:43:38.370Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:43:40.864Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:43:42.502Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:43:44.120Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:43:46.624Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:43:48.231Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:43:48.231Z] 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.
[2025-11-26T22:43:48.231Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:43:48.231Z] Top recommended movies for user id 72:
[2025-11-26T22:43:48.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:43:48.231Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:43:48.231Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:43:48.231Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:43:48.231Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:43:48.231Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18877.274 ms) ======
[2025-11-26T22:43:48.231Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-11-26T22:43:49.011Z] GC before operation: completed in 131.908 ms, heap usage 317.149 MB -> 91.881 MB.
[2025-11-26T22:43:51.504Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:43:54.955Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:43:57.447Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:44:00.907Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:44:02.500Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:44:04.091Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:44:06.567Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:44:08.175Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:44:08.175Z] 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.
[2025-11-26T22:44:08.175Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:44:08.175Z] Top recommended movies for user id 72:
[2025-11-26T22:44:08.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:44:08.175Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:44:08.175Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:44:08.175Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:44:08.175Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:44:08.175Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19838.769 ms) ======
[2025-11-26T22:44:08.175Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-11-26T22:44:08.948Z] GC before operation: completed in 134.064 ms, heap usage 753.154 MB -> 95.831 MB.
[2025-11-26T22:44:11.428Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-26T22:44:14.870Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-26T22:44:17.361Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-26T22:44:20.814Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-26T22:44:22.409Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-26T22:44:24.004Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-26T22:44:25.597Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-26T22:44:27.189Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-26T22:44:27.964Z] 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.
[2025-11-26T22:44:27.964Z] The best model improves the baseline by 14.43%.
[2025-11-26T22:44:27.964Z] Top recommended movies for user id 72:
[2025-11-26T22:44:27.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-26T22:44:27.964Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-26T22:44:27.964Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-26T22:44:27.964Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-26T22:44:27.964Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-26T22:44:27.964Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19149.034 ms) ======
[2025-11-26T22:44:28.733Z] -----------------------------------
[2025-11-26T22:44:28.733Z] renaissance-movie-lens_0_PASSED
[2025-11-26T22:44:28.733Z] -----------------------------------
[2025-11-26T22:44:28.733Z]
[2025-11-26T22:44:28.733Z] TEST TEARDOWN:
[2025-11-26T22:44:28.733Z] Nothing to be done for teardown.
[2025-11-26T22:44:28.733Z] renaissance-movie-lens_0 Finish Time: Wed Nov 26 22:44:28 2025 Epoch Time (ms): 1764197068043