renaissance-movie-lens_0
[2025-08-01T21:36:17.937Z] Running test renaissance-movie-lens_0 ...
[2025-08-01T21:36:17.937Z] ===============================================
[2025-08-01T21:36:17.937Z] renaissance-movie-lens_0 Start Time: Fri Aug 1 16:36:15 2025 Epoch Time (ms): 1754084175588
[2025-08-01T21:36:17.937Z] variation: NoOptions
[2025-08-01T21:36:17.937Z] JVM_OPTIONS:
[2025-08-01T21:36:17.937Z] { \
[2025-08-01T21:36:17.937Z] echo ""; echo "TEST SETUP:"; \
[2025-08-01T21:36:17.937Z] echo "Nothing to be done for setup."; \
[2025-08-01T21:36:17.937Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17540827195805/renaissance-movie-lens_0"; \
[2025-08-01T21:36:17.937Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17540827195805/renaissance-movie-lens_0"; \
[2025-08-01T21:36:17.937Z] echo ""; echo "TESTING:"; \
[2025-08-01T21:36:17.937Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17540827195805/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-01T21:36:17.937Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17540827195805/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-01T21:36:17.937Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-01T21:36:17.937Z] echo "Nothing to be done for teardown."; \
[2025-08-01T21:36:17.937Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17540827195805/TestTargetResult";
[2025-08-01T21:36:17.937Z]
[2025-08-01T21:36:17.937Z] TEST SETUP:
[2025-08-01T21:36:17.937Z] Nothing to be done for setup.
[2025-08-01T21:36:17.937Z]
[2025-08-01T21:36:17.937Z] TESTING:
[2025-08-01T21:36:24.053Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-08-01T21:36:34.806Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-01T21:36:34.806Z] Training: 60056, validation: 20285, test: 19854
[2025-08-01T21:36:34.806Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-01T21:36:34.806Z] GC before operation: completed in 130.276 ms, heap usage 201.147 MB -> 75.022 MB.
[2025-08-01T21:36:42.474Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:36:47.468Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:36:52.468Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:36:55.486Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:36:57.677Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:36:59.846Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:37:02.835Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:37:04.370Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:37:05.065Z] 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.
[2025-08-01T21:37:05.065Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:37:05.065Z] Top recommended movies for user id 72:
[2025-08-01T21:37:05.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:37:05.065Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:37:05.065Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:37:05.065Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:37:05.065Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:37:05.065Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30859.538 ms) ======
[2025-08-01T21:37:05.065Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-01T21:37:05.725Z] GC before operation: completed in 220.841 ms, heap usage 632.166 MB -> 87.367 MB.
[2025-08-01T21:37:08.796Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:37:12.738Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:37:15.805Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:37:19.772Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:37:21.181Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:37:23.350Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:37:25.773Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:37:27.935Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:37:27.935Z] 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.
[2025-08-01T21:37:27.935Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:37:28.610Z] Top recommended movies for user id 72:
[2025-08-01T21:37:28.610Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:37:28.610Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:37:28.610Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:37:28.610Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:37:28.610Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:37:28.610Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22870.552 ms) ======
[2025-08-01T21:37:28.610Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-01T21:37:28.610Z] GC before operation: completed in 201.272 ms, heap usage 403.635 MB -> 89.876 MB.
[2025-08-01T21:37:33.609Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:37:37.575Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:37:40.598Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:37:44.568Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:37:45.966Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:37:48.220Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:37:50.428Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:37:52.587Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:37:52.587Z] 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.
[2025-08-01T21:37:52.587Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:37:53.254Z] Top recommended movies for user id 72:
[2025-08-01T21:37:53.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:37:53.254Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:37:53.254Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:37:53.254Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:37:53.254Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:37:53.254Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24348.736 ms) ======
[2025-08-01T21:37:53.254Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-01T21:37:53.254Z] GC before operation: completed in 223.846 ms, heap usage 299.882 MB -> 93.714 MB.
[2025-08-01T21:37:57.268Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:38:00.301Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:38:04.289Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:38:07.299Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:38:09.483Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:38:11.371Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:38:13.560Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:38:15.720Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:38:15.720Z] 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.
[2025-08-01T21:38:15.720Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:38:16.392Z] Top recommended movies for user id 72:
[2025-08-01T21:38:16.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:38:16.392Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:38:16.392Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:38:16.392Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:38:16.392Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:38:16.392Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22897.660 ms) ======
[2025-08-01T21:38:16.392Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-01T21:38:16.392Z] GC before operation: completed in 193.597 ms, heap usage 508.113 MB -> 90.933 MB.
[2025-08-01T21:38:20.317Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:38:23.366Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:38:26.432Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:38:29.460Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:38:31.627Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:38:33.810Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:38:35.981Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:38:37.381Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:38:38.069Z] 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.
[2025-08-01T21:38:38.069Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:38:38.069Z] Top recommended movies for user id 72:
[2025-08-01T21:38:38.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:38:38.069Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:38:38.069Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:38:38.069Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:38:38.069Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:38:38.069Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21785.558 ms) ======
[2025-08-01T21:38:38.069Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-01T21:38:38.069Z] GC before operation: completed in 199.734 ms, heap usage 280.460 MB -> 90.600 MB.
[2025-08-01T21:38:42.167Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:38:46.159Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:38:49.240Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:38:53.206Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:38:55.366Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:38:57.655Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:38:59.046Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:39:01.231Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:39:01.898Z] 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.
[2025-08-01T21:39:01.898Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:39:01.898Z] Top recommended movies for user id 72:
[2025-08-01T21:39:01.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:39:01.898Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:39:01.898Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:39:01.898Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:39:01.898Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:39:01.898Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23530.567 ms) ======
[2025-08-01T21:39:01.898Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-01T21:39:01.898Z] GC before operation: completed in 169.534 ms, heap usage 473.628 MB -> 91.226 MB.
[2025-08-01T21:39:05.934Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:39:09.928Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:39:12.988Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:39:16.019Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:39:18.231Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:39:20.423Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:39:22.581Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:39:23.973Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:39:23.973Z] 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.
[2025-08-01T21:39:23.973Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:39:24.635Z] Top recommended movies for user id 72:
[2025-08-01T21:39:24.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:39:24.635Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:39:24.635Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:39:24.635Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:39:24.635Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:39:24.635Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22474.703 ms) ======
[2025-08-01T21:39:24.635Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-01T21:39:24.635Z] GC before operation: completed in 200.218 ms, heap usage 503.733 MB -> 91.176 MB.
[2025-08-01T21:39:28.603Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:39:31.637Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:39:35.608Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:39:38.643Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:39:40.866Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:39:43.149Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:39:44.530Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:39:46.743Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:39:46.743Z] 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.
[2025-08-01T21:39:46.743Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:39:47.420Z] Top recommended movies for user id 72:
[2025-08-01T21:39:47.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:39:47.420Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:39:47.420Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:39:47.420Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:39:47.420Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:39:47.420Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22443.751 ms) ======
[2025-08-01T21:39:47.420Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-01T21:39:47.420Z] GC before operation: completed in 196.436 ms, heap usage 516.287 MB -> 91.388 MB.
[2025-08-01T21:39:51.392Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:39:55.385Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:39:58.410Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:40:01.422Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:40:03.622Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:40:05.815Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:40:08.008Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:40:10.195Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:40:10.195Z] 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.
[2025-08-01T21:40:10.195Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:40:10.195Z] Top recommended movies for user id 72:
[2025-08-01T21:40:10.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:40:10.195Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:40:10.195Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:40:10.195Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:40:10.195Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:40:10.195Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23147.312 ms) ======
[2025-08-01T21:40:10.195Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-01T21:40:10.861Z] GC before operation: completed in 193.998 ms, heap usage 115.976 MB -> 90.857 MB.
[2025-08-01T21:40:15.900Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:40:18.934Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:40:23.948Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:40:26.995Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:40:29.187Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:40:31.021Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:40:32.418Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:40:34.582Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:40:34.582Z] 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.
[2025-08-01T21:40:34.582Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:40:34.582Z] Top recommended movies for user id 72:
[2025-08-01T21:40:34.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:40:34.582Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:40:34.582Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:40:34.582Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:40:34.582Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:40:34.582Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (24247.305 ms) ======
[2025-08-01T21:40:34.582Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-01T21:40:35.244Z] GC before operation: completed in 192.568 ms, heap usage 127.682 MB -> 91.255 MB.
[2025-08-01T21:40:39.225Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:40:43.212Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:40:47.224Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:40:50.244Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:40:52.431Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:40:54.597Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:40:56.766Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:40:58.159Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:40:58.822Z] 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.
[2025-08-01T21:40:58.822Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:40:58.822Z] Top recommended movies for user id 72:
[2025-08-01T21:40:58.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:40:58.822Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:40:58.822Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:40:58.822Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:40:58.822Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:40:58.822Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23721.493 ms) ======
[2025-08-01T21:40:58.822Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-01T21:40:58.822Z] GC before operation: completed in 191.226 ms, heap usage 119.710 MB -> 90.807 MB.
[2025-08-01T21:41:02.797Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:41:05.849Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:41:09.793Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:41:13.824Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:41:15.636Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:41:17.851Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:41:20.022Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:41:22.274Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:41:22.274Z] 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.
[2025-08-01T21:41:22.274Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:41:22.274Z] Top recommended movies for user id 72:
[2025-08-01T21:41:22.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:41:22.274Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:41:22.274Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:41:22.274Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:41:22.274Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:41:22.274Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23333.772 ms) ======
[2025-08-01T21:41:22.274Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-01T21:41:22.274Z] GC before operation: completed in 165.246 ms, heap usage 296.963 MB -> 91.135 MB.
[2025-08-01T21:41:26.244Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:41:29.293Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:41:33.365Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:41:36.387Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:41:38.541Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:41:40.728Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:41:42.945Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:41:45.099Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:41:45.099Z] 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.
[2025-08-01T21:41:45.099Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:41:45.099Z] Top recommended movies for user id 72:
[2025-08-01T21:41:45.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:41:45.099Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:41:45.099Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:41:45.099Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:41:45.099Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:41:45.099Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22845.142 ms) ======
[2025-08-01T21:41:45.099Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-01T21:41:45.764Z] GC before operation: completed in 170.533 ms, heap usage 461.548 MB -> 91.394 MB.
[2025-08-01T21:41:49.724Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:41:52.762Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:41:55.790Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:41:58.831Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:42:01.448Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:42:02.838Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:42:05.093Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:42:07.281Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:42:07.281Z] 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.
[2025-08-01T21:42:07.281Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:42:07.956Z] Top recommended movies for user id 72:
[2025-08-01T21:42:07.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:42:07.957Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:42:07.957Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:42:07.957Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:42:07.957Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:42:07.957Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22257.719 ms) ======
[2025-08-01T21:42:07.957Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-01T21:42:07.957Z] GC before operation: completed in 167.600 ms, heap usage 215.401 MB -> 91.055 MB.
[2025-08-01T21:42:11.913Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:42:14.953Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:42:17.952Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:42:20.964Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:42:23.128Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:42:24.538Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:42:26.745Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:42:28.946Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:42:28.946Z] 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.
[2025-08-01T21:42:28.946Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:42:28.946Z] Top recommended movies for user id 72:
[2025-08-01T21:42:28.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:42:28.946Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:42:28.946Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:42:28.946Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:42:28.946Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:42:28.946Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21163.659 ms) ======
[2025-08-01T21:42:28.946Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-01T21:42:29.615Z] GC before operation: completed in 182.625 ms, heap usage 403.312 MB -> 91.487 MB.
[2025-08-01T21:42:32.631Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:42:35.655Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:42:38.677Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:42:42.116Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:42:43.533Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:42:45.732Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:42:47.900Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:42:49.315Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:42:49.315Z] 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.
[2025-08-01T21:42:49.980Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:42:49.980Z] Top recommended movies for user id 72:
[2025-08-01T21:42:49.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:42:49.980Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:42:49.980Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:42:49.980Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:42:49.980Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:42:49.980Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20528.358 ms) ======
[2025-08-01T21:42:49.980Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-01T21:42:49.980Z] GC before operation: completed in 166.442 ms, heap usage 376.703 MB -> 91.338 MB.
[2025-08-01T21:42:55.010Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:43:00.065Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:43:03.094Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:43:06.150Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:43:08.340Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:43:10.523Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:43:12.770Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:43:14.175Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:43:14.852Z] 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.
[2025-08-01T21:43:14.852Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:43:14.852Z] Top recommended movies for user id 72:
[2025-08-01T21:43:14.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:43:14.852Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:43:14.852Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:43:14.852Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:43:14.852Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:43:14.852Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24979.908 ms) ======
[2025-08-01T21:43:14.852Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-01T21:43:14.852Z] GC before operation: completed in 176.835 ms, heap usage 714.288 MB -> 91.688 MB.
[2025-08-01T21:43:18.802Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:43:22.775Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:43:25.919Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:43:29.200Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:43:30.810Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:43:32.993Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:43:35.156Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:43:36.550Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:43:37.214Z] 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.
[2025-08-01T21:43:37.215Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:43:37.215Z] Top recommended movies for user id 72:
[2025-08-01T21:43:37.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:43:37.215Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:43:37.215Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:43:37.215Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:43:37.215Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:43:37.215Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22040.506 ms) ======
[2025-08-01T21:43:37.215Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-01T21:43:37.215Z] GC before operation: completed in 177.349 ms, heap usage 508.517 MB -> 91.320 MB.
[2025-08-01T21:43:41.228Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:43:44.249Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:43:47.258Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:43:50.332Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:43:52.494Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:43:54.670Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:43:56.074Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:43:58.257Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:43:58.257Z] 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.
[2025-08-01T21:43:58.257Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:43:58.939Z] Top recommended movies for user id 72:
[2025-08-01T21:43:58.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:43:58.939Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:43:58.939Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:43:58.939Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:43:58.940Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:43:58.940Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21321.940 ms) ======
[2025-08-01T21:43:58.940Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-01T21:43:58.940Z] GC before operation: completed in 203.079 ms, heap usage 441.368 MB -> 91.375 MB.
[2025-08-01T21:44:02.906Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T21:44:05.965Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T21:44:09.941Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T21:44:13.389Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T21:44:15.557Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T21:44:17.720Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T21:44:19.113Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T21:44:21.277Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T21:44:21.942Z] 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.
[2025-08-01T21:44:21.942Z] The best model improves the baseline by 14.43%.
[2025-08-01T21:44:21.942Z] Top recommended movies for user id 72:
[2025-08-01T21:44:21.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T21:44:21.942Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T21:44:21.942Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T21:44:21.942Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T21:44:21.942Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T21:44:21.942Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22984.046 ms) ======
[2025-08-01T21:44:22.625Z] -----------------------------------
[2025-08-01T21:44:22.625Z] renaissance-movie-lens_0_PASSED
[2025-08-01T21:44:22.625Z] -----------------------------------
[2025-08-01T21:44:22.625Z]
[2025-08-01T21:44:22.625Z] TEST TEARDOWN:
[2025-08-01T21:44:22.625Z] Nothing to be done for teardown.
[2025-08-01T21:44:22.625Z] renaissance-movie-lens_0 Finish Time: Fri Aug 1 16:44:20 2025 Epoch Time (ms): 1754084660480