renaissance-movie-lens_0
[2025-08-20T20:33:33.566Z] Running test renaissance-movie-lens_0 ...
[2025-08-20T20:33:33.566Z] ===============================================
[2025-08-20T20:33:33.566Z] renaissance-movie-lens_0 Start Time: Wed Aug 20 20:33:32 2025 Epoch Time (ms): 1755722012734
[2025-08-20T20:33:33.566Z] variation: NoOptions
[2025-08-20T20:33:33.566Z] JVM_OPTIONS:
[2025-08-20T20:33:33.566Z] { \
[2025-08-20T20:33:33.566Z] echo ""; echo "TEST SETUP:"; \
[2025-08-20T20:33:33.566Z] echo "Nothing to be done for setup."; \
[2025-08-20T20:33:33.566Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17557207599869/renaissance-movie-lens_0"; \
[2025-08-20T20:33:33.566Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17557207599869/renaissance-movie-lens_0"; \
[2025-08-20T20:33:33.566Z] echo ""; echo "TESTING:"; \
[2025-08-20T20:33:33.566Z] "/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_17557207599869/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-20T20:33:33.566Z] 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_17557207599869/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-20T20:33:33.566Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-20T20:33:33.566Z] echo "Nothing to be done for teardown."; \
[2025-08-20T20:33:33.566Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17557207599869/TestTargetResult";
[2025-08-20T20:33:33.566Z]
[2025-08-20T20:33:33.566Z] TEST SETUP:
[2025-08-20T20:33:33.566Z] Nothing to be done for setup.
[2025-08-20T20:33:33.566Z]
[2025-08-20T20:33:33.566Z] TESTING:
[2025-08-20T20:33:40.453Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-08-20T20:33:52.159Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-20T20:33:52.159Z] Training: 60056, validation: 20285, test: 19854
[2025-08-20T20:33:52.159Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-20T20:33:52.159Z] GC before operation: completed in 146.348 ms, heap usage 525.573 MB -> 75.917 MB.
[2025-08-20T20:33:56.638Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:34:00.072Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:34:03.510Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:34:05.985Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:34:08.461Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:34:10.055Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:34:11.650Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:34:14.124Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:34:14.124Z] 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.
[2025-08-20T20:34:14.124Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:34:14.124Z] Top recommended movies for user id 72:
[2025-08-20T20:34:14.124Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:34:14.124Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:34:14.124Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:34:14.124Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:34:14.124Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:34:14.124Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22777.564 ms) ======
[2025-08-20T20:34:14.124Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-20T20:34:14.903Z] GC before operation: completed in 189.580 ms, heap usage 358.523 MB -> 88.571 MB.
[2025-08-20T20:34:17.378Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:34:20.807Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:34:24.229Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:34:27.707Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:34:29.306Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:34:31.787Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:34:33.380Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:34:34.970Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:34:35.744Z] 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.
[2025-08-20T20:34:35.744Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:34:35.744Z] Top recommended movies for user id 72:
[2025-08-20T20:34:35.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:34:35.744Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:34:35.744Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:34:35.744Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:34:35.744Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:34:35.744Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21286.025 ms) ======
[2025-08-20T20:34:35.744Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-20T20:34:35.744Z] GC before operation: completed in 135.430 ms, heap usage 323.298 MB -> 90.200 MB.
[2025-08-20T20:34:39.170Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:34:42.602Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:34:45.077Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:34:48.687Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:34:50.312Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:34:51.905Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:34:53.494Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:34:55.120Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:34:55.891Z] 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.
[2025-08-20T20:34:55.891Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:34:55.891Z] Top recommended movies for user id 72:
[2025-08-20T20:34:55.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:34:55.891Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:34:55.891Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:34:55.891Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:34:55.891Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:34:55.891Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20018.180 ms) ======
[2025-08-20T20:34:55.891Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-20T20:34:55.891Z] GC before operation: completed in 149.380 ms, heap usage 1.905 GB -> 96.777 MB.
[2025-08-20T20:34:59.320Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:35:01.820Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:35:05.240Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:35:07.795Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:35:09.397Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:35:10.993Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:35:12.590Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:35:15.066Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:35:15.066Z] 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.
[2025-08-20T20:35:15.066Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:35:15.066Z] Top recommended movies for user id 72:
[2025-08-20T20:35:15.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:35:15.066Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:35:15.066Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:35:15.066Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:35:15.066Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:35:15.066Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19005.093 ms) ======
[2025-08-20T20:35:15.066Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-20T20:35:15.066Z] GC before operation: completed in 148.806 ms, heap usage 310.136 MB -> 90.968 MB.
[2025-08-20T20:35:18.506Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:35:20.985Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:35:24.406Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:35:26.884Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:35:29.389Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:35:30.976Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:35:32.572Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:35:34.165Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:35:34.934Z] 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.
[2025-08-20T20:35:34.934Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:35:34.934Z] Top recommended movies for user id 72:
[2025-08-20T20:35:34.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:35:34.934Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:35:34.934Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:35:34.934Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:35:34.934Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:35:34.934Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19759.375 ms) ======
[2025-08-20T20:35:34.934Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-20T20:35:34.934Z] GC before operation: completed in 148.759 ms, heap usage 328.618 MB -> 90.954 MB.
[2025-08-20T20:35:38.367Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:35:40.855Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:35:44.307Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:35:46.803Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:35:48.785Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:35:50.390Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:35:52.861Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:35:54.487Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:35:54.487Z] 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.
[2025-08-20T20:35:54.487Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:35:55.257Z] Top recommended movies for user id 72:
[2025-08-20T20:35:55.257Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:35:55.257Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:35:55.257Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:35:55.257Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:35:55.257Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:35:55.257Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19654.915 ms) ======
[2025-08-20T20:35:55.257Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-20T20:35:55.257Z] GC before operation: completed in 140.161 ms, heap usage 136.041 MB -> 90.953 MB.
[2025-08-20T20:35:57.785Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:36:01.209Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:36:04.640Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:36:07.109Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:36:08.700Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:36:11.179Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:36:12.772Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:36:14.365Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:36:14.365Z] 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.
[2025-08-20T20:36:14.365Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:36:15.144Z] Top recommended movies for user id 72:
[2025-08-20T20:36:15.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:36:15.144Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:36:15.144Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:36:15.144Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:36:15.144Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:36:15.144Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19898.122 ms) ======
[2025-08-20T20:36:15.144Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-20T20:36:15.144Z] GC before operation: completed in 140.229 ms, heap usage 594.288 MB -> 91.418 MB.
[2025-08-20T20:36:17.614Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:36:21.084Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:36:23.570Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:36:26.046Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:36:27.642Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:36:30.131Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:36:31.722Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:36:33.334Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:36:33.334Z] 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.
[2025-08-20T20:36:33.334Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:36:33.334Z] Top recommended movies for user id 72:
[2025-08-20T20:36:33.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:36:33.334Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:36:33.334Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:36:33.334Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:36:33.334Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:36:33.334Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18537.374 ms) ======
[2025-08-20T20:36:33.334Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-20T20:36:34.112Z] GC before operation: completed in 148.756 ms, heap usage 1.783 GB -> 97.109 MB.
[2025-08-20T20:36:36.593Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:36:39.082Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:36:42.533Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:36:45.036Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:36:46.651Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:36:48.237Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:36:50.706Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:36:52.298Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:36:52.298Z] 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.
[2025-08-20T20:36:52.298Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:36:53.068Z] Top recommended movies for user id 72:
[2025-08-20T20:36:53.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:36:53.068Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:36:53.068Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:36:53.068Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:36:53.068Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:36:53.068Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18981.617 ms) ======
[2025-08-20T20:36:53.068Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-20T20:36:53.068Z] GC before operation: completed in 142.627 ms, heap usage 119.532 MB -> 91.096 MB.
[2025-08-20T20:36:55.547Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:36:58.997Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:37:02.450Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:37:04.930Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:37:06.527Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:37:08.129Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:37:10.615Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:37:12.215Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:37:12.215Z] 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.
[2025-08-20T20:37:12.215Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:37:12.988Z] Top recommended movies for user id 72:
[2025-08-20T20:37:12.988Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:37:12.988Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:37:12.988Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:37:12.988Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:37:12.988Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:37:12.988Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19779.834 ms) ======
[2025-08-20T20:37:12.988Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-20T20:37:12.988Z] GC before operation: completed in 127.140 ms, heap usage 171.794 MB -> 91.515 MB.
[2025-08-20T20:37:15.458Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:37:18.900Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:37:22.335Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:37:24.802Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:37:26.550Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:37:28.139Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:37:30.628Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:37:32.233Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:37:32.233Z] 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.
[2025-08-20T20:37:32.233Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:37:33.016Z] Top recommended movies for user id 72:
[2025-08-20T20:37:33.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:37:33.016Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:37:33.016Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:37:33.016Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:37:33.016Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:37:33.016Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19916.629 ms) ======
[2025-08-20T20:37:33.016Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-20T20:37:33.016Z] GC before operation: completed in 138.532 ms, heap usage 162.267 MB -> 91.067 MB.
[2025-08-20T20:37:35.504Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:37:38.949Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:37:41.821Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:37:44.484Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:37:46.997Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:37:48.593Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:37:50.230Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:37:51.828Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:37:52.599Z] 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.
[2025-08-20T20:37:52.599Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:37:52.599Z] Top recommended movies for user id 72:
[2025-08-20T20:37:52.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:37:52.599Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:37:52.599Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:37:52.599Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:37:52.599Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:37:52.599Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19718.839 ms) ======
[2025-08-20T20:37:52.599Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-20T20:37:52.599Z] GC before operation: completed in 131.683 ms, heap usage 147.612 MB -> 91.532 MB.
[2025-08-20T20:37:56.033Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:37:58.509Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:38:01.935Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:38:04.422Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:38:06.899Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:38:08.490Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:38:10.084Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:38:12.567Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:38:12.567Z] 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.
[2025-08-20T20:38:12.567Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:38:12.567Z] Top recommended movies for user id 72:
[2025-08-20T20:38:12.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:38:12.567Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:38:12.567Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:38:12.567Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:38:12.567Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:38:12.567Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20142.698 ms) ======
[2025-08-20T20:38:12.567Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-20T20:38:13.337Z] GC before operation: completed in 140.517 ms, heap usage 318.211 MB -> 91.705 MB.
[2025-08-20T20:38:15.806Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:38:19.232Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:38:21.703Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:38:24.184Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:38:25.906Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:38:27.501Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:38:29.983Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:38:30.758Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:38:31.528Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-20T20:38:31.528Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:38:31.528Z] Top recommended movies for user id 72:
[2025-08-20T20:38:31.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:38:31.528Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:38:31.528Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:38:31.528Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:38:31.528Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:38:31.528Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18631.832 ms) ======
[2025-08-20T20:38:31.528Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-20T20:38:31.528Z] GC before operation: completed in 137.125 ms, heap usage 439.980 MB -> 91.838 MB.
[2025-08-20T20:38:34.977Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:38:37.791Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:38:40.272Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:38:43.702Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:38:45.293Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:38:46.898Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:38:48.495Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:38:50.100Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:38:50.100Z] 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.
[2025-08-20T20:38:50.100Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:38:50.875Z] Top recommended movies for user id 72:
[2025-08-20T20:38:50.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:38:50.875Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:38:50.875Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:38:50.875Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:38:50.875Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:38:50.875Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18829.864 ms) ======
[2025-08-20T20:38:50.875Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-20T20:38:50.875Z] GC before operation: completed in 163.524 ms, heap usage 2.151 GB -> 97.949 MB.
[2025-08-20T20:38:53.351Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:38:56.797Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:38:59.268Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:39:01.750Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:39:04.249Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:39:05.850Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:39:07.439Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:39:09.050Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:39:09.050Z] 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.
[2025-08-20T20:39:09.821Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:39:09.821Z] Top recommended movies for user id 72:
[2025-08-20T20:39:09.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:39:09.821Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:39:09.821Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:39:09.821Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:39:09.821Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:39:09.821Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18893.923 ms) ======
[2025-08-20T20:39:09.821Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-20T20:39:09.821Z] GC before operation: completed in 123.990 ms, heap usage 335.149 MB -> 91.872 MB.
[2025-08-20T20:39:12.303Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:39:15.730Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:39:19.189Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:39:21.666Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:39:23.257Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:39:24.874Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:39:27.402Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:39:29.000Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:39:29.000Z] 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.
[2025-08-20T20:39:29.000Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:39:29.000Z] Top recommended movies for user id 72:
[2025-08-20T20:39:29.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:39:29.000Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:39:29.000Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:39:29.000Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:39:29.000Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:39:29.000Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19434.342 ms) ======
[2025-08-20T20:39:29.000Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-20T20:39:29.000Z] GC before operation: completed in 126.431 ms, heap usage 672.966 MB -> 92.091 MB.
[2025-08-20T20:39:32.620Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:39:35.438Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:39:37.919Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:39:41.345Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:39:42.932Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:39:44.524Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:39:46.113Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:39:47.712Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:39:47.712Z] 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.
[2025-08-20T20:39:47.712Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:39:47.712Z] Top recommended movies for user id 72:
[2025-08-20T20:39:47.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:39:47.712Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:39:47.712Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:39:47.712Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:39:47.712Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:39:47.712Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18727.954 ms) ======
[2025-08-20T20:39:47.712Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-20T20:39:48.480Z] GC before operation: completed in 136.326 ms, heap usage 2.476 GB -> 97.804 MB.
[2025-08-20T20:39:50.960Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:39:54.390Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:39:56.883Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:40:00.311Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:40:01.085Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:40:02.689Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:40:05.182Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:40:06.784Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:40:06.784Z] 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.
[2025-08-20T20:40:06.784Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:40:06.784Z] Top recommended movies for user id 72:
[2025-08-20T20:40:06.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:40:06.784Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:40:06.784Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:40:06.784Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:40:06.784Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:40:06.784Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18820.597 ms) ======
[2025-08-20T20:40:06.784Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-20T20:40:06.784Z] GC before operation: completed in 156.108 ms, heap usage 558.845 MB -> 91.859 MB.
[2025-08-20T20:40:10.226Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T20:40:12.710Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T20:40:16.160Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T20:40:18.631Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T20:40:21.107Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T20:40:22.696Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T20:40:24.288Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T20:40:26.795Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T20:40:26.795Z] 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.
[2025-08-20T20:40:26.795Z] The best model improves the baseline by 14.43%.
[2025-08-20T20:40:26.795Z] Top recommended movies for user id 72:
[2025-08-20T20:40:26.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-20T20:40:26.795Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-20T20:40:26.795Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-20T20:40:26.795Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-20T20:40:26.795Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-20T20:40:26.795Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19717.506 ms) ======
[2025-08-20T20:40:27.562Z] -----------------------------------
[2025-08-20T20:40:27.562Z] renaissance-movie-lens_0_PASSED
[2025-08-20T20:40:27.562Z] -----------------------------------
[2025-08-20T20:40:27.562Z]
[2025-08-20T20:40:27.562Z] TEST TEARDOWN:
[2025-08-20T20:40:27.562Z] Nothing to be done for teardown.
[2025-08-20T20:40:27.562Z] renaissance-movie-lens_0 Finish Time: Wed Aug 20 20:40:26 2025 Epoch Time (ms): 1755722426984