renaissance-movie-lens_0
[2025-11-20T00:52:39.796Z] Running test renaissance-movie-lens_0 ...
[2025-11-20T00:52:39.796Z] ===============================================
[2025-11-20T00:52:39.796Z] renaissance-movie-lens_0 Start Time: Thu Nov 20 00:52:39 2025 Epoch Time (ms): 1763599959578
[2025-11-20T00:52:39.796Z] variation: NoOptions
[2025-11-20T00:52:39.796Z] JVM_OPTIONS:
[2025-11-20T00:52:39.796Z] { \
[2025-11-20T00:52:39.796Z] echo ""; echo "TEST SETUP:"; \
[2025-11-20T00:52:39.796Z] echo "Nothing to be done for setup."; \
[2025-11-20T00:52:39.796Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1763598609916/renaissance-movie-lens_0"; \
[2025-11-20T00:52:39.796Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1763598609916/renaissance-movie-lens_0"; \
[2025-11-20T00:52:39.796Z] echo ""; echo "TESTING:"; \
[2025-11-20T00:52:39.796Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1763598609916/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-11-20T00:52:39.796Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1763598609916/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-11-20T00:52:39.796Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-11-20T00:52:39.796Z] echo "Nothing to be done for teardown."; \
[2025-11-20T00:52:39.796Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1763598609916/TestTargetResult";
[2025-11-20T00:52:39.796Z]
[2025-11-20T00:52:39.796Z] TEST SETUP:
[2025-11-20T00:52:39.796Z] Nothing to be done for setup.
[2025-11-20T00:52:39.796Z]
[2025-11-20T00:52:39.796Z] TESTING:
[2025-11-20T00:52:48.064Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-11-20T00:52:57.909Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-11-20T00:52:57.909Z] Training: 60056, validation: 20285, test: 19854
[2025-11-20T00:52:57.909Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-11-20T00:52:57.909Z] GC before operation: completed in 156.631 ms, heap usage 428.779 MB -> 75.861 MB.
[2025-11-20T00:53:03.528Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:53:06.940Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:53:10.358Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:53:13.774Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:53:15.365Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:53:16.951Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:53:19.411Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:53:21.002Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:53:21.002Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:53:21.002Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:53:21.772Z] Top recommended movies for user id 72:
[2025-11-20T00:53:21.772Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:53:21.772Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:53:21.772Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:53:21.772Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:53:21.772Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:53:21.772Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23297.777 ms) ======
[2025-11-20T00:53:21.772Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-11-20T00:53:21.772Z] GC before operation: completed in 181.396 ms, heap usage 1.783 GB -> 100.412 MB.
[2025-11-20T00:53:25.200Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:53:27.661Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:53:31.077Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:53:33.553Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:53:36.025Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:53:37.630Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:53:39.215Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:53:40.801Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:53:41.569Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:53:41.569Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:53:41.569Z] Top recommended movies for user id 72:
[2025-11-20T00:53:41.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:53:41.569Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:53:41.569Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:53:41.569Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:53:41.569Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:53:41.569Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19834.206 ms) ======
[2025-11-20T00:53:41.569Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-11-20T00:53:41.569Z] GC before operation: completed in 183.097 ms, heap usage 2.502 GB -> 98.635 MB.
[2025-11-20T00:53:45.011Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:53:47.470Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:53:50.884Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:53:53.345Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:53:55.816Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:53:57.414Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:53:59.043Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:54:00.642Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:54:00.642Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:54:00.642Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:54:01.407Z] Top recommended movies for user id 72:
[2025-11-20T00:54:01.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:54:01.408Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:54:01.408Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:54:01.408Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:54:01.408Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:54:01.408Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19444.224 ms) ======
[2025-11-20T00:54:01.408Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-11-20T00:54:01.408Z] GC before operation: completed in 166.319 ms, heap usage 2.342 GB -> 100.806 MB.
[2025-11-20T00:54:03.871Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:54:07.301Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:54:10.724Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:54:13.215Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:54:14.805Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:54:16.398Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:54:18.869Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:54:20.458Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:54:20.458Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:54:20.458Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:54:21.225Z] Top recommended movies for user id 72:
[2025-11-20T00:54:21.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:54:21.225Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:54:21.225Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:54:21.225Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:54:21.225Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:54:21.225Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19601.791 ms) ======
[2025-11-20T00:54:21.225Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-11-20T00:54:21.225Z] GC before operation: completed in 163.953 ms, heap usage 655.756 MB -> 91.543 MB.
[2025-11-20T00:54:24.638Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:54:27.098Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:54:30.514Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:54:33.930Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:54:35.562Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:54:37.150Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:54:39.611Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:54:41.200Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:54:41.200Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:54:41.200Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:54:41.200Z] Top recommended movies for user id 72:
[2025-11-20T00:54:41.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:54:41.200Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:54:41.200Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:54:41.200Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:54:41.200Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:54:41.200Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20496.096 ms) ======
[2025-11-20T00:54:41.200Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-11-20T00:54:41.966Z] GC before operation: completed in 152.372 ms, heap usage 528.236 MB -> 91.237 MB.
[2025-11-20T00:54:45.383Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:54:47.846Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:54:51.263Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:54:54.673Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:54:56.260Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:54:58.021Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:54:59.608Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:55:01.191Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:55:01.958Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:55:01.958Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:55:01.958Z] Top recommended movies for user id 72:
[2025-11-20T00:55:01.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:55:01.958Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:55:01.958Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:55:01.958Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:55:01.958Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:55:01.958Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20179.610 ms) ======
[2025-11-20T00:55:01.958Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-11-20T00:55:01.958Z] GC before operation: completed in 173.679 ms, heap usage 1.479 GB -> 100.131 MB.
[2025-11-20T00:55:05.370Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:55:07.831Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:55:11.263Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:55:13.937Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:55:15.531Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:55:17.118Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:55:18.732Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:55:21.197Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:55:21.197Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:55:21.197Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:55:21.197Z] Top recommended movies for user id 72:
[2025-11-20T00:55:21.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:55:21.197Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:55:21.197Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:55:21.197Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:55:21.197Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:55:21.197Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19285.381 ms) ======
[2025-11-20T00:55:21.197Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-11-20T00:55:21.197Z] GC before operation: completed in 176.486 ms, heap usage 2.451 GB -> 99.438 MB.
[2025-11-20T00:55:24.610Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:55:28.058Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:55:30.525Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:55:33.977Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:55:35.575Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:55:37.158Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:55:38.742Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:55:40.381Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:55:41.149Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:55:41.149Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:55:41.149Z] Top recommended movies for user id 72:
[2025-11-20T00:55:41.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:55:41.149Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:55:41.149Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:55:41.149Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:55:41.149Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:55:41.149Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19750.550 ms) ======
[2025-11-20T00:55:41.149Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-11-20T00:55:41.149Z] GC before operation: completed in 172.412 ms, heap usage 2.454 GB -> 101.182 MB.
[2025-11-20T00:55:44.575Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:55:47.054Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:55:50.464Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:55:52.939Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:55:55.400Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:55:57.024Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:55:58.618Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:56:00.216Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:56:00.216Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:56:00.216Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:56:00.216Z] Top recommended movies for user id 72:
[2025-11-20T00:56:00.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:56:00.216Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:56:00.216Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:56:00.216Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:56:00.216Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:56:00.216Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19159.544 ms) ======
[2025-11-20T00:56:00.216Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-11-20T00:56:00.984Z] GC before operation: completed in 187.767 ms, heap usage 2.217 GB -> 102.560 MB.
[2025-11-20T00:56:03.472Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:56:06.887Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:56:09.360Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:56:12.776Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:56:14.362Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:56:15.946Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:56:17.540Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:56:19.137Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:56:19.922Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:56:19.922Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:56:19.922Z] Top recommended movies for user id 72:
[2025-11-20T00:56:19.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:56:19.922Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:56:19.922Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:56:19.922Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:56:19.922Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:56:19.922Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18986.463 ms) ======
[2025-11-20T00:56:19.922Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-11-20T00:56:19.922Z] GC before operation: completed in 172.362 ms, heap usage 1.566 GB -> 99.634 MB.
[2025-11-20T00:56:23.333Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:56:25.798Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:56:29.211Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:56:31.687Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:56:34.159Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:56:35.771Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:56:37.354Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:56:39.830Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:56:39.830Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:56:39.830Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:56:39.830Z] Top recommended movies for user id 72:
[2025-11-20T00:56:39.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:56:39.830Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:56:39.830Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:56:39.830Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:56:39.830Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:56:39.830Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20155.702 ms) ======
[2025-11-20T00:56:39.830Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-11-20T00:56:40.596Z] GC before operation: completed in 157.984 ms, heap usage 303.515 MB -> 91.459 MB.
[2025-11-20T00:56:43.072Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:56:46.488Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:56:49.902Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:56:52.369Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:56:53.957Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:56:55.569Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:56:57.165Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:56:59.635Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:56:59.635Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:56:59.635Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:56:59.635Z] Top recommended movies for user id 72:
[2025-11-20T00:56:59.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:56:59.635Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:56:59.635Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:56:59.635Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:56:59.635Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:56:59.635Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19431.885 ms) ======
[2025-11-20T00:56:59.635Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-11-20T00:56:59.635Z] GC before operation: completed in 194.006 ms, heap usage 2.989 GB -> 98.203 MB.
[2025-11-20T00:57:03.078Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:57:05.570Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:57:09.023Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:57:11.502Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:57:13.094Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:57:14.682Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:57:16.271Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:57:17.869Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:57:18.636Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:57:18.636Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:57:18.636Z] Top recommended movies for user id 72:
[2025-11-20T00:57:18.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:57:18.636Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:57:18.636Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:57:18.636Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:57:18.637Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:57:18.637Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18859.319 ms) ======
[2025-11-20T00:57:18.637Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-11-20T00:57:18.637Z] GC before operation: completed in 163.665 ms, heap usage 952.813 MB -> 97.725 MB.
[2025-11-20T00:57:22.072Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:57:24.565Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:57:28.002Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:57:30.469Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:57:32.058Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:57:33.644Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:57:35.231Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:57:36.847Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:57:37.615Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:57:37.615Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:57:37.615Z] Top recommended movies for user id 72:
[2025-11-20T00:57:37.615Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:57:37.615Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:57:37.615Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:57:37.615Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:57:37.615Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:57:37.615Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18662.482 ms) ======
[2025-11-20T00:57:37.615Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-11-20T00:57:37.615Z] GC before operation: completed in 176.546 ms, heap usage 2.647 GB -> 101.408 MB.
[2025-11-20T00:57:41.038Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:57:43.506Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:57:46.949Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:57:49.421Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:57:51.026Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:57:53.167Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:57:54.013Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:57:55.617Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:57:56.464Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:57:56.464Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:57:56.464Z] Top recommended movies for user id 72:
[2025-11-20T00:57:56.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:57:56.464Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:57:56.464Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:57:56.464Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:57:56.464Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:57:56.464Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18724.462 ms) ======
[2025-11-20T00:57:56.464Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-11-20T00:57:56.464Z] GC before operation: completed in 172.108 ms, heap usage 316.153 MB -> 93.769 MB.
[2025-11-20T00:58:01.664Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:58:02.449Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:58:05.883Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:58:08.348Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:58:09.966Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:58:11.654Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:58:14.122Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:58:14.898Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:58:15.675Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:58:15.675Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:58:15.675Z] Top recommended movies for user id 72:
[2025-11-20T00:58:15.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:58:15.675Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:58:15.675Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:58:15.675Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:58:15.675Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:58:15.675Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19139.756 ms) ======
[2025-11-20T00:58:15.675Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-11-20T00:58:15.675Z] GC before operation: completed in 165.118 ms, heap usage 2.257 GB -> 99.267 MB.
[2025-11-20T00:58:19.110Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:58:21.570Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:58:24.982Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:58:27.444Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:58:29.028Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:58:30.628Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:58:33.101Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:58:33.876Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:58:34.646Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:58:34.646Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:58:34.646Z] Top recommended movies for user id 72:
[2025-11-20T00:58:34.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:58:34.646Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:58:34.646Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:58:34.646Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:58:34.646Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:58:34.646Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18792.014 ms) ======
[2025-11-20T00:58:34.646Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-11-20T00:58:34.646Z] GC before operation: completed in 171.572 ms, heap usage 2.587 GB -> 100.498 MB.
[2025-11-20T00:58:37.677Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:58:41.091Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:58:43.563Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:58:46.990Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:58:48.678Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:58:50.268Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:58:51.884Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:58:53.482Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:58:53.482Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:58:53.482Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:58:53.482Z] Top recommended movies for user id 72:
[2025-11-20T00:58:53.482Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:58:53.482Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:58:53.482Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:58:53.482Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:58:53.482Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:58:53.482Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18856.186 ms) ======
[2025-11-20T00:58:53.482Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-11-20T00:58:54.281Z] GC before operation: completed in 177.268 ms, heap usage 2.461 GB -> 100.530 MB.
[2025-11-20T00:58:57.092Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:58:59.583Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:59:03.042Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:59:05.537Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:59:07.140Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:59:08.741Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:59:10.335Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:59:11.934Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:59:12.706Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:59:12.706Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:59:12.706Z] Top recommended movies for user id 72:
[2025-11-20T00:59:12.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:59:12.706Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:59:12.706Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:59:12.706Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:59:12.706Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:59:12.706Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18769.152 ms) ======
[2025-11-20T00:59:12.706Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-11-20T00:59:12.706Z] GC before operation: completed in 170.980 ms, heap usage 2.292 GB -> 99.303 MB.
[2025-11-20T00:59:15.466Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T00:59:18.937Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T00:59:21.417Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T00:59:24.861Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T00:59:26.464Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T00:59:28.061Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T00:59:29.656Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T00:59:31.255Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T00:59:31.255Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-20T00:59:31.255Z] The best model improves the baseline by 14.43%.
[2025-11-20T00:59:32.029Z] Top recommended movies for user id 72:
[2025-11-20T00:59:32.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-20T00:59:32.029Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-20T00:59:32.029Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-20T00:59:32.029Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-20T00:59:32.029Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-20T00:59:32.029Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18855.999 ms) ======
[2025-11-20T00:59:32.802Z] -----------------------------------
[2025-11-20T00:59:32.802Z] renaissance-movie-lens_0_PASSED
[2025-11-20T00:59:32.802Z] -----------------------------------
[2025-11-20T00:59:32.802Z]
[2025-11-20T00:59:32.802Z] TEST TEARDOWN:
[2025-11-20T00:59:32.802Z] Nothing to be done for teardown.
[2025-11-20T00:59:32.802Z] renaissance-movie-lens_0 Finish Time: Thu Nov 20 00:59:32 2025 Epoch Time (ms): 1763600372073