renaissance-movie-lens_0
[2026-01-21T03:28:15.839Z] Running test renaissance-movie-lens_0 ...
[2026-01-21T03:28:15.839Z] ===============================================
[2026-01-21T03:28:15.839Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 03:28:15 2026 Epoch Time (ms): 1768966095721
[2026-01-21T03:28:15.839Z] variation: NoOptions
[2026-01-21T03:28:15.839Z] JVM_OPTIONS:
[2026-01-21T03:28:15.839Z] { \
[2026-01-21T03:28:15.839Z] echo ""; echo "TEST SETUP:"; \
[2026-01-21T03:28:15.839Z] echo "Nothing to be done for setup."; \
[2026-01-21T03:28:15.839Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17689652806165/renaissance-movie-lens_0"; \
[2026-01-21T03:28:15.839Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17689652806165/renaissance-movie-lens_0"; \
[2026-01-21T03:28:15.839Z] echo ""; echo "TESTING:"; \
[2026-01-21T03:28:15.839Z] "/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_17689652806165/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-21T03:28:15.839Z] 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_17689652806165/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-21T03:28:15.839Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-21T03:28:15.839Z] echo "Nothing to be done for teardown."; \
[2026-01-21T03:28:15.839Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17689652806165/TestTargetResult";
[2026-01-21T03:28:15.839Z]
[2026-01-21T03:28:15.839Z] TEST SETUP:
[2026-01-21T03:28:15.839Z] Nothing to be done for setup.
[2026-01-21T03:28:15.839Z]
[2026-01-21T03:28:15.839Z] TESTING:
[2026-01-21T03:28:24.243Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2026-01-21T03:28:34.279Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-21T03:28:34.279Z] Training: 60056, validation: 20285, test: 19854
[2026-01-21T03:28:34.279Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-21T03:28:34.279Z] GC before operation: completed in 153.830 ms, heap usage 437.565 MB -> 75.784 MB.
[2026-01-21T03:28:38.820Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:28:42.516Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:28:46.061Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:28:48.578Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:28:51.097Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:28:52.720Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:28:55.229Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:28:56.850Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:28:56.850Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-21T03:28:56.850Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:28:57.639Z] Top recommended movies for user id 72:
[2026-01-21T03:28:57.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:28:57.639Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:28:57.639Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:28:57.639Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:28:57.639Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:28:57.639Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23376.601 ms) ======
[2026-01-21T03:28:57.639Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-21T03:28:57.639Z] GC before operation: completed in 164.652 ms, heap usage 319.384 MB -> 88.826 MB.
[2026-01-21T03:29:01.130Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:29:03.694Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:29:07.312Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:29:09.831Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:29:12.343Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:29:13.963Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:29:15.583Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:29:17.221Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:29:17.221Z] 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.
[2026-01-21T03:29:17.221Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:29:18.006Z] Top recommended movies for user id 72:
[2026-01-21T03:29:18.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:29:18.006Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:29:18.006Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:29:18.006Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:29:18.006Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:29:18.006Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20145.859 ms) ======
[2026-01-21T03:29:18.006Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-21T03:29:18.006Z] GC before operation: completed in 157.981 ms, heap usage 1.244 GB -> 95.051 MB.
[2026-01-21T03:29:20.529Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:29:24.020Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:29:27.502Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:29:30.024Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:29:31.660Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:29:33.283Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:29:34.902Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:29:36.523Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:29:37.699Z] 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.
[2026-01-21T03:29:37.699Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:29:37.699Z] Top recommended movies for user id 72:
[2026-01-21T03:29:37.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:29:37.699Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:29:37.699Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:29:37.699Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:29:37.699Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:29:37.699Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19424.638 ms) ======
[2026-01-21T03:29:37.699Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-21T03:29:37.699Z] GC before operation: completed in 156.666 ms, heap usage 2.298 GB -> 97.479 MB.
[2026-01-21T03:29:40.213Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:29:42.913Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:29:46.393Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:29:48.922Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:29:49.706Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:29:52.217Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:29:53.840Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:29:55.517Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:29:55.517Z] 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.
[2026-01-21T03:29:55.517Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:29:55.517Z] Top recommended movies for user id 72:
[2026-01-21T03:29:55.517Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:29:55.517Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:29:55.517Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:29:55.517Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:29:55.517Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:29:55.517Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18204.955 ms) ======
[2026-01-21T03:29:55.517Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-21T03:29:55.517Z] GC before operation: completed in 148.694 ms, heap usage 856.988 MB -> 95.249 MB.
[2026-01-21T03:29:59.014Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:30:01.535Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:30:04.051Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:30:06.696Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:30:08.314Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:30:09.935Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:30:12.461Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:30:14.082Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:30:14.082Z] 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.
[2026-01-21T03:30:14.082Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:30:14.082Z] Top recommended movies for user id 72:
[2026-01-21T03:30:14.082Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:30:14.082Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:30:14.082Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:30:14.082Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:30:14.082Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:30:14.082Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18594.109 ms) ======
[2026-01-21T03:30:14.082Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-21T03:30:14.875Z] GC before operation: completed in 138.423 ms, heap usage 180.653 MB -> 91.322 MB.
[2026-01-21T03:30:17.390Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:30:20.877Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:30:23.436Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:30:25.945Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:30:28.474Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:30:30.092Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:30:31.715Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:30:33.552Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:30:33.552Z] 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.
[2026-01-21T03:30:33.552Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:30:33.552Z] Top recommended movies for user id 72:
[2026-01-21T03:30:33.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:30:33.552Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:30:33.552Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:30:33.552Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:30:33.552Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:30:33.552Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19233.934 ms) ======
[2026-01-21T03:30:33.552Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-21T03:30:34.517Z] GC before operation: completed in 125.415 ms, heap usage 330.166 MB -> 91.897 MB.
[2026-01-21T03:30:37.038Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:30:39.567Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:30:43.071Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:30:45.583Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:30:48.114Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:30:49.737Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:30:51.359Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:30:52.976Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:30:53.763Z] 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.
[2026-01-21T03:30:53.763Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:30:53.763Z] Top recommended movies for user id 72:
[2026-01-21T03:30:53.763Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:30:53.763Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:30:53.763Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:30:53.764Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:30:53.764Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:30:53.764Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19782.319 ms) ======
[2026-01-21T03:30:53.764Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-21T03:30:53.764Z] GC before operation: completed in 125.663 ms, heap usage 308.618 MB -> 91.941 MB.
[2026-01-21T03:30:56.284Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:30:59.839Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:31:02.360Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:31:04.877Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:31:07.426Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:31:09.049Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:31:10.672Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:31:12.292Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:31:12.292Z] 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.
[2026-01-21T03:31:13.077Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:31:13.077Z] Top recommended movies for user id 72:
[2026-01-21T03:31:13.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:31:13.077Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:31:13.077Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:31:13.077Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:31:13.077Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:31:13.077Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19162.089 ms) ======
[2026-01-21T03:31:13.077Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-21T03:31:13.077Z] GC before operation: completed in 132.940 ms, heap usage 312.155 MB -> 91.982 MB.
[2026-01-21T03:31:15.590Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:31:19.078Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:31:21.590Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:31:25.079Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:31:26.696Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:31:28.313Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:31:30.503Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:31:32.134Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:31:32.134Z] 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.
[2026-01-21T03:31:32.134Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:31:32.918Z] Top recommended movies for user id 72:
[2026-01-21T03:31:32.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:31:32.918Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:31:32.918Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:31:32.918Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:31:32.918Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:31:32.918Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19663.988 ms) ======
[2026-01-21T03:31:32.918Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-21T03:31:32.918Z] GC before operation: completed in 128.216 ms, heap usage 490.425 MB -> 92.021 MB.
[2026-01-21T03:31:35.459Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:31:38.949Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:31:41.472Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:31:43.995Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:31:45.618Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:31:47.241Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:31:48.861Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:31:50.506Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:31:50.506Z] 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.
[2026-01-21T03:31:50.506Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:31:50.506Z] Top recommended movies for user id 72:
[2026-01-21T03:31:50.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:31:50.506Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:31:50.506Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:31:50.506Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:31:50.506Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:31:50.506Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18032.699 ms) ======
[2026-01-21T03:31:50.506Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-21T03:31:51.289Z] GC before operation: completed in 140.912 ms, heap usage 743.945 MB -> 95.965 MB.
[2026-01-21T03:31:53.801Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:31:56.342Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:31:59.895Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:32:02.415Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:32:04.032Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:32:06.704Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:32:08.339Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:32:09.975Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:32:09.975Z] 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.
[2026-01-21T03:32:09.975Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:32:09.975Z] Top recommended movies for user id 72:
[2026-01-21T03:32:09.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:32:09.975Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:32:09.975Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:32:09.975Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:32:09.975Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:32:09.975Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19227.274 ms) ======
[2026-01-21T03:32:09.975Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-21T03:32:09.975Z] GC before operation: completed in 122.019 ms, heap usage 152.934 MB -> 91.784 MB.
[2026-01-21T03:32:13.602Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:32:16.122Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:32:19.630Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:32:22.150Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:32:23.783Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:32:25.798Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:32:27.417Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:32:29.090Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:32:29.911Z] 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.
[2026-01-21T03:32:29.911Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:32:29.911Z] Top recommended movies for user id 72:
[2026-01-21T03:32:29.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:32:29.911Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:32:29.911Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:32:29.911Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:32:29.911Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:32:29.911Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19465.781 ms) ======
[2026-01-21T03:32:29.911Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-21T03:32:29.911Z] GC before operation: completed in 130.566 ms, heap usage 333.796 MB -> 92.283 MB.
[2026-01-21T03:32:32.436Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:32:35.929Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:32:38.457Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:32:41.950Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:32:43.575Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:32:45.197Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:32:46.819Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:32:48.437Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:32:48.437Z] 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.
[2026-01-21T03:32:49.224Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:32:49.224Z] Top recommended movies for user id 72:
[2026-01-21T03:32:49.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:32:49.224Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:32:49.224Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:32:49.224Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:32:49.224Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:32:49.224Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19079.095 ms) ======
[2026-01-21T03:32:49.224Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-21T03:32:49.224Z] GC before operation: completed in 155.507 ms, heap usage 311.402 MB -> 92.211 MB.
[2026-01-21T03:32:51.735Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:32:55.218Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:32:57.748Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:33:01.235Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:33:02.876Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:33:04.495Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:33:06.118Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:33:07.740Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:33:08.525Z] 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.
[2026-01-21T03:33:08.525Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:33:08.525Z] Top recommended movies for user id 72:
[2026-01-21T03:33:08.525Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:33:08.525Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:33:08.525Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:33:08.525Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:33:08.525Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:33:08.525Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19239.027 ms) ======
[2026-01-21T03:33:08.525Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-21T03:33:08.525Z] GC before operation: completed in 147.125 ms, heap usage 311.560 MB -> 92.347 MB.
[2026-01-21T03:33:11.045Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:33:14.550Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:33:17.094Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:33:19.623Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:33:21.243Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:33:22.860Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:33:24.482Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:33:26.109Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:33:26.109Z] 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.
[2026-01-21T03:33:26.109Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:33:26.899Z] Top recommended movies for user id 72:
[2026-01-21T03:33:26.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:33:26.899Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:33:26.899Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:33:26.899Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:33:26.899Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:33:26.899Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18047.929 ms) ======
[2026-01-21T03:33:26.899Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-21T03:33:26.899Z] GC before operation: completed in 146.166 ms, heap usage 2.378 GB -> 98.733 MB.
[2026-01-21T03:33:29.463Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:33:32.950Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:33:35.465Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:33:37.989Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:33:39.609Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:33:41.245Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:33:43.763Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:33:45.394Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:33:45.394Z] 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.
[2026-01-21T03:33:45.394Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:33:45.394Z] Top recommended movies for user id 72:
[2026-01-21T03:33:45.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:33:45.394Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:33:45.394Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:33:45.395Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:33:45.395Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:33:45.395Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18983.855 ms) ======
[2026-01-21T03:33:45.395Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-21T03:33:46.179Z] GC before operation: completed in 129.013 ms, heap usage 312.231 MB -> 92.166 MB.
[2026-01-21T03:33:48.695Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:33:51.217Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:33:54.700Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:33:57.212Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:33:59.728Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:34:01.349Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:34:02.968Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:34:04.601Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:34:04.601Z] 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.
[2026-01-21T03:34:04.601Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:34:04.601Z] Top recommended movies for user id 72:
[2026-01-21T03:34:04.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:34:04.601Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:34:04.601Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:34:04.601Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:34:04.601Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:34:04.601Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18892.685 ms) ======
[2026-01-21T03:34:04.601Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-21T03:34:04.601Z] GC before operation: completed in 127.152 ms, heap usage 123.460 MB -> 95.181 MB.
[2026-01-21T03:34:07.248Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:34:10.736Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:34:13.252Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:34:15.992Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:34:17.610Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:34:19.236Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:34:21.754Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:34:23.386Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:34:23.386Z] 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.
[2026-01-21T03:34:23.386Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:34:23.386Z] Top recommended movies for user id 72:
[2026-01-21T03:34:23.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:34:23.386Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:34:23.386Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:34:23.386Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:34:23.386Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:34:23.386Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18636.297 ms) ======
[2026-01-21T03:34:23.386Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-21T03:34:23.386Z] GC before operation: completed in 120.835 ms, heap usage 329.389 MB -> 92.165 MB.
[2026-01-21T03:34:26.867Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:34:29.384Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:34:32.869Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:34:35.395Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:34:37.022Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:34:38.646Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:34:41.161Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:34:42.127Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:34:42.912Z] 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.
[2026-01-21T03:34:42.912Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:34:42.912Z] Top recommended movies for user id 72:
[2026-01-21T03:34:42.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:34:42.912Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:34:42.912Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:34:42.912Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:34:42.912Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:34:42.912Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19244.829 ms) ======
[2026-01-21T03:34:42.912Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-21T03:34:42.912Z] GC before operation: completed in 125.488 ms, heap usage 152.675 MB -> 92.105 MB.
[2026-01-21T03:34:46.394Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T03:34:48.912Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T03:34:52.408Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T03:34:54.930Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T03:34:56.564Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T03:34:58.182Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T03:34:59.804Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T03:35:01.426Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T03:35:02.210Z] 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.
[2026-01-21T03:35:02.210Z] The best model improves the baseline by 14.43%.
[2026-01-21T03:35:02.210Z] Top recommended movies for user id 72:
[2026-01-21T03:35:02.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T03:35:02.210Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T03:35:02.210Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T03:35:02.210Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T03:35:02.210Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T03:35:02.210Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19263.408 ms) ======
[2026-01-21T03:35:02.995Z] -----------------------------------
[2026-01-21T03:35:02.995Z] renaissance-movie-lens_0_PASSED
[2026-01-21T03:35:02.995Z] -----------------------------------
[2026-01-21T03:35:02.995Z]
[2026-01-21T03:35:02.995Z] TEST TEARDOWN:
[2026-01-21T03:35:02.995Z] Nothing to be done for teardown.
[2026-01-21T03:35:02.995Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 03:35:02 2026 Epoch Time (ms): 1768966502510