renaissance-movie-lens_0
[2025-07-30T21:15:40.208Z] Running test renaissance-movie-lens_0 ...
[2025-07-30T21:15:40.208Z] ===============================================
[2025-07-30T21:15:40.208Z] renaissance-movie-lens_0 Start Time: Wed Jul 30 21:15:39 2025 Epoch Time (ms): 1753910139407
[2025-07-30T21:15:40.208Z] variation: NoOptions
[2025-07-30T21:15:40.208Z] JVM_OPTIONS:
[2025-07-30T21:15:40.208Z] { \
[2025-07-30T21:15:40.208Z] echo ""; echo "TEST SETUP:"; \
[2025-07-30T21:15:40.208Z] echo "Nothing to be done for setup."; \
[2025-07-30T21:15:40.208Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17539088974113/renaissance-movie-lens_0"; \
[2025-07-30T21:15:40.208Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17539088974113/renaissance-movie-lens_0"; \
[2025-07-30T21:15:40.208Z] echo ""; echo "TESTING:"; \
[2025-07-30T21:15:40.208Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17539088974113/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-07-30T21:15:40.208Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17539088974113/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-07-30T21:15:40.208Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-07-30T21:15:40.208Z] echo "Nothing to be done for teardown."; \
[2025-07-30T21:15:40.208Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17539088974113/TestTargetResult";
[2025-07-30T21:15:40.208Z]
[2025-07-30T21:15:40.208Z] TEST SETUP:
[2025-07-30T21:15:40.208Z] Nothing to be done for setup.
[2025-07-30T21:15:40.208Z]
[2025-07-30T21:15:40.208Z] TESTING:
[2025-07-30T21:15:47.186Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-07-30T21:15:57.182Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-07-30T21:15:57.182Z] Training: 60056, validation: 20285, test: 19854
[2025-07-30T21:15:57.182Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-07-30T21:15:57.973Z] GC before operation: completed in 136.147 ms, heap usage 474.384 MB -> 75.846 MB.
[2025-07-30T21:16:02.453Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:16:05.894Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:16:09.336Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:16:11.825Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:16:13.426Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:16:15.909Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:16:17.507Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:16:19.989Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:16:19.989Z] 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.
[2025-07-30T21:16:19.989Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:16:19.989Z] Top recommended movies for user id 72:
[2025-07-30T21:16:19.989Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:16:19.989Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:16:19.989Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:16:19.989Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:16:19.989Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:16:19.989Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22613.164 ms) ======
[2025-07-30T21:16:19.989Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-07-30T21:16:19.989Z] GC before operation: completed in 151.556 ms, heap usage 379.102 MB -> 89.335 MB.
[2025-07-30T21:16:23.433Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:16:27.072Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:16:30.509Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:16:32.991Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:16:34.583Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:16:37.071Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:16:38.669Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:16:40.281Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:16:41.053Z] 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.
[2025-07-30T21:16:41.053Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:16:41.053Z] Top recommended movies for user id 72:
[2025-07-30T21:16:41.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:16:41.053Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:16:41.053Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:16:41.053Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:16:41.053Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:16:41.053Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20706.114 ms) ======
[2025-07-30T21:16:41.053Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-07-30T21:16:41.053Z] GC before operation: completed in 142.299 ms, heap usage 478.997 MB -> 90.328 MB.
[2025-07-30T21:16:44.487Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:16:46.970Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:16:50.416Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:16:53.859Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:16:55.457Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:16:57.053Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:16:58.658Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:17:00.258Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:17:01.031Z] 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.
[2025-07-30T21:17:01.031Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:17:01.031Z] Top recommended movies for user id 72:
[2025-07-30T21:17:01.031Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:17:01.031Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:17:01.031Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:17:01.031Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:17:01.031Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:17:01.031Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19679.306 ms) ======
[2025-07-30T21:17:01.031Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-07-30T21:17:01.031Z] GC before operation: completed in 138.475 ms, heap usage 2.887 GB -> 97.444 MB.
[2025-07-30T21:17:03.533Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:17:06.975Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:17:09.633Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:17:12.111Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:17:13.727Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:17:15.333Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:17:17.820Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:17:19.420Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:17:19.420Z] 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.
[2025-07-30T21:17:19.420Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:17:19.420Z] Top recommended movies for user id 72:
[2025-07-30T21:17:19.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:17:19.420Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:17:19.420Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:17:19.420Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:17:19.420Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:17:19.420Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18623.047 ms) ======
[2025-07-30T21:17:19.420Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-07-30T21:17:20.194Z] GC before operation: completed in 158.518 ms, heap usage 2.498 GB -> 97.634 MB.
[2025-07-30T21:17:22.684Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:17:25.166Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:17:28.604Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:17:31.087Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:17:32.685Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:17:34.287Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:17:35.891Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:17:37.492Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:17:38.264Z] 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.
[2025-07-30T21:17:38.264Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:17:38.264Z] Top recommended movies for user id 72:
[2025-07-30T21:17:38.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:17:38.264Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:17:38.264Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:17:38.264Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:17:38.264Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:17:38.264Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18514.887 ms) ======
[2025-07-30T21:17:38.264Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-07-30T21:17:38.264Z] GC before operation: completed in 163.302 ms, heap usage 1.204 GB -> 95.780 MB.
[2025-07-30T21:17:41.743Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:17:44.227Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:17:47.696Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:17:50.450Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:17:52.046Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:17:53.645Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:17:55.252Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:17:56.850Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:17:57.627Z] 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.
[2025-07-30T21:17:57.627Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:17:57.627Z] Top recommended movies for user id 72:
[2025-07-30T21:17:57.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:17:57.627Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:17:57.627Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:17:57.627Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:17:57.627Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:17:57.627Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19154.526 ms) ======
[2025-07-30T21:17:57.627Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-07-30T21:17:57.627Z] GC before operation: completed in 124.372 ms, heap usage 2.164 GB -> 97.594 MB.
[2025-07-30T21:18:01.068Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:18:03.554Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:18:06.995Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:18:09.472Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:18:11.072Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:18:12.674Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:18:15.156Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:18:16.755Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:18:16.755Z] 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.
[2025-07-30T21:18:16.755Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:18:17.528Z] Top recommended movies for user id 72:
[2025-07-30T21:18:17.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:18:17.528Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:18:17.528Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:18:17.528Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:18:17.528Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:18:17.529Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19491.425 ms) ======
[2025-07-30T21:18:17.529Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-07-30T21:18:17.529Z] GC before operation: completed in 123.935 ms, heap usage 325.031 MB -> 91.359 MB.
[2025-07-30T21:18:20.013Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:18:23.475Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:18:25.953Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:18:29.401Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:18:30.999Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:18:32.857Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:18:34.456Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:18:36.052Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:18:36.052Z] 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.
[2025-07-30T21:18:36.824Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:18:36.824Z] Top recommended movies for user id 72:
[2025-07-30T21:18:36.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:18:36.824Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:18:36.824Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:18:36.824Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:18:36.824Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:18:36.824Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19225.569 ms) ======
[2025-07-30T21:18:36.824Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-07-30T21:18:36.824Z] GC before operation: completed in 134.901 ms, heap usage 3.063 GB -> 97.937 MB.
[2025-07-30T21:18:39.307Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:18:41.790Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:18:45.246Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:18:47.731Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:18:49.331Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:18:51.056Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:18:52.719Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:18:54.316Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:18:54.316Z] 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.
[2025-07-30T21:18:54.317Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:18:54.317Z] Top recommended movies for user id 72:
[2025-07-30T21:18:54.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:18:54.317Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:18:54.317Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:18:54.317Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:18:54.317Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:18:54.317Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17735.640 ms) ======
[2025-07-30T21:18:54.317Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-07-30T21:18:54.317Z] GC before operation: completed in 150.550 ms, heap usage 1.166 GB -> 95.998 MB.
[2025-07-30T21:18:57.771Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:19:00.270Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:19:02.753Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:19:06.194Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:19:07.801Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:19:09.398Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:19:10.999Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:19:12.603Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:19:13.590Z] 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.
[2025-07-30T21:19:13.590Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:19:13.590Z] Top recommended movies for user id 72:
[2025-07-30T21:19:13.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:19:13.590Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:19:13.590Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:19:13.590Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:19:13.590Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:19:13.590Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18759.390 ms) ======
[2025-07-30T21:19:13.590Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-07-30T21:19:13.590Z] GC before operation: completed in 126.049 ms, heap usage 362.812 MB -> 91.838 MB.
[2025-07-30T21:19:16.120Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:19:19.559Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:19:22.121Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:19:25.551Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:19:27.152Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:19:28.747Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:19:30.342Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:19:31.977Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:19:32.752Z] 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.
[2025-07-30T21:19:32.753Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:19:32.753Z] Top recommended movies for user id 72:
[2025-07-30T21:19:32.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:19:32.753Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:19:32.753Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:19:32.753Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:19:32.753Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:19:32.753Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19188.830 ms) ======
[2025-07-30T21:19:32.753Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-07-30T21:19:32.753Z] GC before operation: completed in 130.484 ms, heap usage 302.699 MB -> 91.623 MB.
[2025-07-30T21:19:36.200Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:19:38.684Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:19:42.131Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:19:44.611Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:19:46.210Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:19:47.806Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:19:50.287Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:19:51.948Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:19:51.948Z] 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.
[2025-07-30T21:19:51.948Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:19:51.948Z] Top recommended movies for user id 72:
[2025-07-30T21:19:51.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:19:51.948Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:19:51.948Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:19:51.948Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:19:51.948Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:19:51.948Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19364.014 ms) ======
[2025-07-30T21:19:51.948Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-07-30T21:19:52.721Z] GC before operation: completed in 147.504 ms, heap usage 324.645 MB -> 91.814 MB.
[2025-07-30T21:19:55.198Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:19:58.026Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:20:00.687Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:20:04.150Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:20:05.752Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:20:07.378Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:20:08.978Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:20:10.571Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:20:11.343Z] 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.
[2025-07-30T21:20:11.343Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:20:11.343Z] Top recommended movies for user id 72:
[2025-07-30T21:20:11.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:20:11.343Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:20:11.343Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:20:11.343Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:20:11.343Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:20:11.343Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18800.704 ms) ======
[2025-07-30T21:20:11.343Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-07-30T21:20:11.343Z] GC before operation: completed in 113.378 ms, heap usage 365.383 MB -> 92.100 MB.
[2025-07-30T21:20:13.824Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:20:17.261Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:20:19.744Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:20:23.185Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:20:24.805Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:20:26.405Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:20:28.060Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:20:29.654Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:20:30.439Z] 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.
[2025-07-30T21:20:30.439Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:20:30.439Z] Top recommended movies for user id 72:
[2025-07-30T21:20:30.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:20:30.439Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:20:30.439Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:20:30.439Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:20:30.439Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:20:30.439Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18987.235 ms) ======
[2025-07-30T21:20:30.439Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-07-30T21:20:30.439Z] GC before operation: completed in 117.623 ms, heap usage 376.478 MB -> 91.844 MB.
[2025-07-30T21:20:32.917Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:20:36.351Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:20:38.849Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:20:41.535Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:20:43.133Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:20:44.732Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:20:46.397Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:20:47.994Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:20:47.994Z] 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.
[2025-07-30T21:20:47.994Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:20:48.767Z] Top recommended movies for user id 72:
[2025-07-30T21:20:48.767Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:20:48.767Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:20:48.767Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:20:48.767Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:20:48.767Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:20:48.767Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18148.027 ms) ======
[2025-07-30T21:20:48.767Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-07-30T21:20:48.767Z] GC before operation: completed in 126.089 ms, heap usage 331.740 MB -> 92.199 MB.
[2025-07-30T21:20:51.250Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:20:54.720Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:20:57.216Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:21:00.660Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:21:02.268Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:21:03.869Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:21:05.465Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:21:07.059Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:21:07.831Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-30T21:21:07.831Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:21:07.831Z] Top recommended movies for user id 72:
[2025-07-30T21:21:07.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:21:07.831Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:21:07.831Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:21:07.831Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:21:07.831Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:21:07.831Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19183.983 ms) ======
[2025-07-30T21:21:07.831Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-07-30T21:21:07.831Z] GC before operation: completed in 121.804 ms, heap usage 172.559 MB -> 91.866 MB.
[2025-07-30T21:21:11.269Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:21:13.753Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:21:17.191Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:21:19.676Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:21:21.521Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:21:23.117Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:21:24.720Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:21:27.211Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:21:27.211Z] 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.
[2025-07-30T21:21:27.211Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:21:27.211Z] Top recommended movies for user id 72:
[2025-07-30T21:21:27.211Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:21:27.211Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:21:27.211Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:21:27.211Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:21:27.211Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:21:27.211Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19288.399 ms) ======
[2025-07-30T21:21:27.211Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-07-30T21:21:27.211Z] GC before operation: completed in 125.929 ms, heap usage 284.048 MB -> 91.870 MB.
[2025-07-30T21:21:30.669Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:21:33.150Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:21:36.586Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:21:39.088Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:21:40.684Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:21:42.283Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:21:44.769Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:21:46.392Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:21:46.392Z] 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.
[2025-07-30T21:21:46.392Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:21:46.392Z] Top recommended movies for user id 72:
[2025-07-30T21:21:46.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:21:46.392Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:21:46.392Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:21:46.392Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:21:46.392Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:21:46.392Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19186.343 ms) ======
[2025-07-30T21:21:46.392Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-07-30T21:21:46.392Z] GC before operation: completed in 129.781 ms, heap usage 1.782 GB -> 97.438 MB.
[2025-07-30T21:21:49.831Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:21:52.428Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:21:54.940Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:21:58.375Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:21:59.975Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:22:01.571Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:22:03.176Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:22:04.958Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:22:05.890Z] 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.
[2025-07-30T21:22:05.890Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:22:05.890Z] Top recommended movies for user id 72:
[2025-07-30T21:22:05.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:22:05.890Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:22:05.890Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:22:05.890Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:22:05.890Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:22:05.890Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18834.553 ms) ======
[2025-07-30T21:22:05.890Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-07-30T21:22:05.890Z] GC before operation: completed in 117.327 ms, heap usage 250.033 MB -> 91.845 MB.
[2025-07-30T21:22:08.377Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-30T21:22:11.810Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-30T21:22:14.301Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-30T21:22:17.746Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-30T21:22:19.341Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-30T21:22:20.939Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-30T21:22:22.536Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-30T21:22:24.139Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-30T21:22:24.914Z] 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.
[2025-07-30T21:22:24.914Z] The best model improves the baseline by 14.43%.
[2025-07-30T21:22:24.914Z] Top recommended movies for user id 72:
[2025-07-30T21:22:24.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-30T21:22:24.914Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-30T21:22:24.914Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-30T21:22:24.914Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-30T21:22:24.914Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-30T21:22:24.914Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19104.001 ms) ======
[2025-07-30T21:22:25.691Z] -----------------------------------
[2025-07-30T21:22:25.691Z] renaissance-movie-lens_0_PASSED
[2025-07-30T21:22:25.691Z] -----------------------------------
[2025-07-30T21:22:25.691Z]
[2025-07-30T21:22:25.691Z] TEST TEARDOWN:
[2025-07-30T21:22:25.691Z] Nothing to be done for teardown.
[2025-07-30T21:22:25.692Z] renaissance-movie-lens_0 Finish Time: Wed Jul 30 21:22:24 2025 Epoch Time (ms): 1753910544961