renaissance-movie-lens_0
[2025-06-12T03:08:00.566Z] Running test renaissance-movie-lens_0 ...
[2025-06-12T03:08:00.566Z] ===============================================
[2025-06-12T03:08:00.566Z] renaissance-movie-lens_0 Start Time: Thu Jun 12 03:07:59 2025 Epoch Time (ms): 1749697679088
[2025-06-12T03:08:00.566Z] variation: NoOptions
[2025-06-12T03:08:00.566Z] JVM_OPTIONS:
[2025-06-12T03:08:00.566Z] { \
[2025-06-12T03:08:00.566Z] echo ""; echo "TEST SETUP:"; \
[2025-06-12T03:08:00.566Z] echo "Nothing to be done for setup."; \
[2025-06-12T03:08:00.566Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17496944902628/renaissance-movie-lens_0"; \
[2025-06-12T03:08:00.566Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17496944902628/renaissance-movie-lens_0"; \
[2025-06-12T03:08:00.566Z] echo ""; echo "TESTING:"; \
[2025-06-12T03:08:00.566Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17496944902628/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-12T03:08:00.566Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17496944902628/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-12T03:08:00.566Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-12T03:08:00.566Z] echo "Nothing to be done for teardown."; \
[2025-06-12T03:08:00.566Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17496944902628/TestTargetResult";
[2025-06-12T03:08:00.566Z]
[2025-06-12T03:08:00.566Z] TEST SETUP:
[2025-06-12T03:08:00.566Z] Nothing to be done for setup.
[2025-06-12T03:08:00.566Z]
[2025-06-12T03:08:00.566Z] TESTING:
[2025-06-12T03:09:07.592Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2025-06-12T03:09:25.054Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-12T03:09:25.848Z] Training: 60056, validation: 20285, test: 19854
[2025-06-12T03:09:25.848Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-12T03:09:25.848Z] GC before operation: completed in 204.237 ms, heap usage 601.211 MB -> 75.146 MB.
[2025-06-12T03:09:34.157Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:09:37.612Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:09:43.828Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:09:48.310Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:09:51.751Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:09:54.230Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:10:02.591Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:10:05.072Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:10:05.072Z] 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.
[2025-06-12T03:10:05.846Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:10:05.846Z] Top recommended movies for user id 72:
[2025-06-12T03:10:05.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:10:05.846Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:10:05.846Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:10:05.846Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:10:05.846Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:10:05.846Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (39786.278 ms) ======
[2025-06-12T03:10:05.846Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-12T03:10:05.846Z] GC before operation: completed in 256.604 ms, heap usage 532.375 MB -> 87.576 MB.
[2025-06-12T03:10:10.351Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:10:14.833Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:10:20.501Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:10:24.987Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:10:27.673Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:10:29.274Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:10:33.767Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:10:36.266Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:10:36.266Z] 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.
[2025-06-12T03:10:36.266Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:10:36.266Z] Top recommended movies for user id 72:
[2025-06-12T03:10:36.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:10:36.266Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:10:36.266Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:10:36.266Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:10:36.266Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:10:36.266Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (30485.348 ms) ======
[2025-06-12T03:10:36.266Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-12T03:10:37.041Z] GC before operation: completed in 195.719 ms, heap usage 433.828 MB -> 90.146 MB.
[2025-06-12T03:10:41.530Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:10:44.964Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:10:51.860Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:10:55.296Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:10:57.783Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:10:59.378Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:11:04.995Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:11:08.433Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:11:08.433Z] 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.
[2025-06-12T03:11:08.433Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:11:08.433Z] Top recommended movies for user id 72:
[2025-06-12T03:11:08.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:11:08.433Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:11:08.433Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:11:08.433Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:11:08.433Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:11:08.433Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (31854.658 ms) ======
[2025-06-12T03:11:08.433Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-12T03:11:09.206Z] GC before operation: completed in 224.889 ms, heap usage 955.943 MB -> 94.734 MB.
[2025-06-12T03:11:13.735Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:11:18.229Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:11:24.121Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:11:27.598Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:11:30.078Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:11:32.594Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:11:36.038Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:11:38.515Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:11:38.515Z] 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.
[2025-06-12T03:11:38.515Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:11:38.515Z] Top recommended movies for user id 72:
[2025-06-12T03:11:38.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:11:38.515Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:11:38.515Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:11:38.515Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:11:38.515Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:11:38.515Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (29913.803 ms) ======
[2025-06-12T03:11:38.515Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-12T03:11:39.287Z] GC before operation: completed in 201.229 ms, heap usage 983.988 MB -> 95.003 MB.
[2025-06-12T03:11:42.720Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:11:46.156Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:11:51.776Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:11:55.226Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:11:56.828Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:11:59.305Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:12:03.795Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:12:06.305Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:12:06.305Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T03:12:06.305Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:12:06.305Z] Top recommended movies for user id 72:
[2025-06-12T03:12:06.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:12:06.305Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:12:06.305Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:12:06.305Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:12:06.305Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:12:06.305Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (27603.250 ms) ======
[2025-06-12T03:12:06.305Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-12T03:12:07.077Z] GC before operation: completed in 196.984 ms, heap usage 676.064 MB -> 91.376 MB.
[2025-06-12T03:12:10.524Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:12:13.963Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:12:23.433Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:12:26.878Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:12:29.357Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:12:31.837Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:12:34.329Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:12:36.819Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:12:36.819Z] 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.
[2025-06-12T03:12:36.819Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:12:37.598Z] Top recommended movies for user id 72:
[2025-06-12T03:12:37.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:12:37.598Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:12:37.598Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:12:37.598Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:12:37.598Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:12:37.598Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (30614.276 ms) ======
[2025-06-12T03:12:37.598Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-12T03:12:37.598Z] GC before operation: completed in 226.834 ms, heap usage 1.101 GB -> 95.680 MB.
[2025-06-12T03:12:42.076Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:12:45.513Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:12:50.011Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:12:54.499Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:12:56.100Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:12:58.582Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:13:01.071Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:13:03.552Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:13:04.325Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T03:13:04.325Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:13:04.325Z] Top recommended movies for user id 72:
[2025-06-12T03:13:04.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:13:04.325Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:13:04.325Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:13:04.325Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:13:04.325Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:13:04.325Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (26802.474 ms) ======
[2025-06-12T03:13:04.325Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-12T03:13:04.325Z] GC before operation: completed in 241.355 ms, heap usage 658.715 MB -> 91.661 MB.
[2025-06-12T03:13:08.838Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:13:12.277Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:13:16.753Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:13:20.209Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:13:22.706Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:13:25.352Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:13:28.798Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:13:30.396Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:13:30.396Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T03:13:30.396Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:13:31.169Z] Top recommended movies for user id 72:
[2025-06-12T03:13:31.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:13:31.169Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:13:31.169Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:13:31.169Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:13:31.169Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:13:31.169Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26270.883 ms) ======
[2025-06-12T03:13:31.169Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-12T03:13:31.169Z] GC before operation: completed in 262.451 ms, heap usage 1.297 GB -> 96.265 MB.
[2025-06-12T03:13:35.643Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:13:39.089Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:13:43.603Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:13:47.060Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:13:49.543Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:13:52.020Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:13:55.474Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:13:57.964Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:13:57.964Z] 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.
[2025-06-12T03:13:57.964Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:13:57.964Z] Top recommended movies for user id 72:
[2025-06-12T03:13:57.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:13:57.964Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:13:57.964Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:13:57.964Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:13:57.964Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:13:57.964Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (26944.217 ms) ======
[2025-06-12T03:13:57.964Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-12T03:13:57.964Z] GC before operation: completed in 208.727 ms, heap usage 1.135 GB -> 95.836 MB.
[2025-06-12T03:14:02.440Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:14:06.977Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:14:11.473Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:14:14.907Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:14:17.389Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:14:18.982Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:14:21.462Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:14:24.807Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:14:24.807Z] 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.
[2025-06-12T03:14:24.807Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:14:24.807Z] Top recommended movies for user id 72:
[2025-06-12T03:14:24.807Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:14:24.807Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:14:24.807Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:14:24.807Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:14:24.807Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:14:24.807Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (26311.951 ms) ======
[2025-06-12T03:14:24.807Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-12T03:14:24.807Z] GC before operation: completed in 191.545 ms, heap usage 1.179 GB -> 96.136 MB.
[2025-06-12T03:14:29.286Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:14:33.775Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:14:38.259Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:14:41.692Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:14:44.177Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:14:47.935Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:14:48.712Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:14:51.227Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:14:51.227Z] 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.
[2025-06-12T03:14:51.227Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:14:52.001Z] Top recommended movies for user id 72:
[2025-06-12T03:14:52.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:14:52.001Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:14:52.001Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:14:52.001Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:14:52.001Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:14:52.001Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (26890.684 ms) ======
[2025-06-12T03:14:52.001Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-12T03:14:52.001Z] GC before operation: completed in 212.422 ms, heap usage 528.031 MB -> 91.436 MB.
[2025-06-12T03:14:55.445Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:14:59.938Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:15:04.413Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:15:07.860Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:15:10.337Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:15:12.837Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:15:15.314Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:15:17.823Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:15:17.823Z] 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.
[2025-06-12T03:15:17.823Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:15:17.823Z] Top recommended movies for user id 72:
[2025-06-12T03:15:17.823Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:15:17.823Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:15:17.823Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:15:17.823Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:15:17.823Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:15:17.823Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (26065.450 ms) ======
[2025-06-12T03:15:17.823Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-12T03:15:18.595Z] GC before operation: completed in 243.432 ms, heap usage 1.163 GB -> 96.043 MB.
[2025-06-12T03:15:22.041Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:15:25.492Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:15:30.820Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:15:34.269Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:15:37.724Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:15:40.206Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:15:43.674Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:15:45.269Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:15:45.269Z] 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.
[2025-06-12T03:15:45.269Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:15:46.046Z] Top recommended movies for user id 72:
[2025-06-12T03:15:46.046Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:15:46.046Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:15:46.046Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:15:46.046Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:15:46.046Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:15:46.046Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (27589.998 ms) ======
[2025-06-12T03:15:46.046Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-12T03:15:46.046Z] GC before operation: completed in 206.260 ms, heap usage 451.275 MB -> 91.712 MB.
[2025-06-12T03:15:50.525Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:15:53.955Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:15:57.398Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:16:00.835Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:16:03.317Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:16:04.926Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:16:08.361Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:16:09.996Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:16:09.996Z] 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.
[2025-06-12T03:16:09.996Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:16:10.775Z] Top recommended movies for user id 72:
[2025-06-12T03:16:10.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:16:10.776Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:16:10.776Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:16:10.776Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:16:10.776Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:16:10.776Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24435.873 ms) ======
[2025-06-12T03:16:10.776Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-12T03:16:10.776Z] GC before operation: completed in 200.874 ms, heap usage 978.846 MB -> 95.339 MB.
[2025-06-12T03:16:15.257Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:16:18.689Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:16:24.312Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:16:26.835Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:16:29.330Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:16:31.852Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:16:35.317Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:16:36.921Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:16:36.921Z] 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.
[2025-06-12T03:16:37.705Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:16:37.705Z] Top recommended movies for user id 72:
[2025-06-12T03:16:37.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:16:37.705Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:16:37.705Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:16:37.705Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:16:37.705Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:16:37.705Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (26870.204 ms) ======
[2025-06-12T03:16:37.705Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-12T03:16:37.705Z] GC before operation: completed in 244.931 ms, heap usage 701.243 MB -> 92.097 MB.
[2025-06-12T03:16:42.182Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:16:47.815Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:16:52.302Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:16:55.752Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:16:58.270Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:16:59.865Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:17:02.342Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:17:04.850Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:17:04.850Z] 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.
[2025-06-12T03:17:04.850Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:17:05.644Z] Top recommended movies for user id 72:
[2025-06-12T03:17:05.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:17:05.644Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:17:05.644Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:17:05.644Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:17:05.644Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:17:05.644Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (27528.550 ms) ======
[2025-06-12T03:17:05.644Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-12T03:17:05.644Z] GC before operation: completed in 243.652 ms, heap usage 1018.061 MB -> 95.493 MB.
[2025-06-12T03:17:09.078Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:17:12.518Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:17:16.987Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:17:20.427Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:17:22.928Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:17:24.540Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:17:27.972Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:17:30.489Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:17:30.489Z] 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.
[2025-06-12T03:17:30.489Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:17:30.489Z] Top recommended movies for user id 72:
[2025-06-12T03:17:30.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:17:30.489Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:17:30.489Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:17:30.489Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:17:30.489Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:17:30.489Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25178.574 ms) ======
[2025-06-12T03:17:30.489Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-12T03:17:31.265Z] GC before operation: completed in 216.955 ms, heap usage 198.145 MB -> 91.829 MB.
[2025-06-12T03:17:35.273Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:17:38.737Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:17:44.381Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:17:47.816Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:17:50.305Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:17:53.747Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:17:56.226Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:17:57.821Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:17:58.596Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T03:17:58.596Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:17:58.596Z] Top recommended movies for user id 72:
[2025-06-12T03:17:58.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:17:58.596Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:17:58.596Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:17:58.596Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:17:58.596Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:17:58.596Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (27770.500 ms) ======
[2025-06-12T03:17:58.596Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-12T03:17:59.371Z] GC before operation: completed in 256.948 ms, heap usage 1.228 GB -> 96.142 MB.
[2025-06-12T03:18:02.802Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:18:06.245Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:18:11.869Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:18:15.309Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:18:16.913Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:18:19.402Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:18:21.899Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:18:24.425Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:18:25.199Z] 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.
[2025-06-12T03:18:25.199Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:18:25.199Z] Top recommended movies for user id 72:
[2025-06-12T03:18:25.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:18:25.199Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:18:25.199Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:18:25.199Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:18:25.199Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:18:25.199Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (26248.039 ms) ======
[2025-06-12T03:18:25.199Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-12T03:18:25.199Z] GC before operation: completed in 216.724 ms, heap usage 357.788 MB -> 91.663 MB.
[2025-06-12T03:18:29.675Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T03:18:34.151Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T03:18:38.479Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T03:18:41.937Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T03:18:44.421Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T03:18:46.908Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T03:18:49.400Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T03:18:51.879Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T03:18:52.649Z] 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.
[2025-06-12T03:18:52.649Z] The best model improves the baseline by 14.43%.
[2025-06-12T03:18:52.649Z] Top recommended movies for user id 72:
[2025-06-12T03:18:52.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T03:18:52.649Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T03:18:52.649Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T03:18:52.649Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T03:18:52.649Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T03:18:52.649Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (27259.444 ms) ======
[2025-06-12T03:18:55.140Z] -----------------------------------
[2025-06-12T03:18:55.140Z] renaissance-movie-lens_0_PASSED
[2025-06-12T03:18:55.140Z] -----------------------------------
[2025-06-12T03:18:55.140Z]
[2025-06-12T03:18:55.140Z] TEST TEARDOWN:
[2025-06-12T03:18:55.140Z] Nothing to be done for teardown.
[2025-06-12T03:18:55.140Z] renaissance-movie-lens_0 Finish Time: Thu Jun 12 03:18:54 2025 Epoch Time (ms): 1749698334355