renaissance-movie-lens_0
[2026-02-21T19:38:51.979Z] Running test renaissance-movie-lens_0 ...
[2026-02-21T19:38:52.759Z] ===============================================
[2026-02-21T19:38:52.759Z] renaissance-movie-lens_0 Start Time: Sat Feb 21 19:38:52 2026 Epoch Time (ms): 1771702732079
[2026-02-21T19:38:52.759Z] variation: NoOptions
[2026-02-21T19:38:52.759Z] JVM_OPTIONS:
[2026-02-21T19:38:52.759Z] { \
[2026-02-21T19:38:52.759Z] echo ""; echo "TEST SETUP:"; \
[2026-02-21T19:38:52.759Z] echo "Nothing to be done for setup."; \
[2026-02-21T19:38:52.759Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17717015816707/renaissance-movie-lens_0"; \
[2026-02-21T19:38:52.759Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17717015816707/renaissance-movie-lens_0"; \
[2026-02-21T19:38:52.759Z] echo ""; echo "TESTING:"; \
[2026-02-21T19:38:52.759Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17717015816707/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-21T19:38:52.759Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17717015816707/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-21T19:38:52.759Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-21T19:38:52.759Z] echo "Nothing to be done for teardown."; \
[2026-02-21T19:38:52.759Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17717015816707/TestTargetResult";
[2026-02-21T19:38:52.759Z]
[2026-02-21T19:38:52.759Z] TEST SETUP:
[2026-02-21T19:38:52.759Z] Nothing to be done for setup.
[2026-02-21T19:38:52.759Z]
[2026-02-21T19:38:52.759Z] TESTING:
[2026-02-21T19:38:53.541Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-21T19:38:53.541Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17717015816707/renaissance-movie-lens_0/launcher-193852-3986852707306969024/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-21T19:38:53.541Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-21T19:38:53.541Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-21T19:39:16.184Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2026-02-21T19:39:24.574Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-21T19:39:25.357Z] Training: 60056, validation: 20285, test: 19854
[2026-02-21T19:39:25.357Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-21T19:39:25.357Z] GC before operation: completed in 140.887 ms, heap usage 623.482 MB -> 75.458 MB.
[2026-02-21T19:39:31.035Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:39:34.516Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:39:39.074Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:39:42.550Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:39:44.344Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:39:45.964Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:39:48.473Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:39:50.977Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:39:50.977Z] 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.
[2026-02-21T19:39:50.977Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:39:50.977Z] Top recommended movies for user id 72:
[2026-02-21T19:39:50.977Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:39:50.977Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:39:50.977Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:39:50.977Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:39:50.977Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:39:50.977Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26076.805 ms) ======
[2026-02-21T19:39:50.977Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-21T19:39:51.760Z] GC before operation: completed in 163.149 ms, heap usage 196.287 MB -> 86.774 MB.
[2026-02-21T19:39:55.256Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:39:57.769Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:40:02.304Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:40:05.779Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:40:07.394Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:40:09.014Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:40:13.195Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:40:15.010Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:40:15.010Z] 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.
[2026-02-21T19:40:15.010Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:40:15.792Z] Top recommended movies for user id 72:
[2026-02-21T19:40:15.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:40:15.792Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:40:15.792Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:40:15.792Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:40:15.792Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:40:15.792Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24258.725 ms) ======
[2026-02-21T19:40:15.792Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-21T19:40:15.792Z] GC before operation: completed in 165.277 ms, heap usage 316.678 MB -> 89.599 MB.
[2026-02-21T19:40:19.283Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:40:22.797Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:40:26.286Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:40:29.761Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:40:31.389Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:40:33.024Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:40:34.641Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:40:37.158Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:40:37.158Z] 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.
[2026-02-21T19:40:37.158Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:40:37.158Z] Top recommended movies for user id 72:
[2026-02-21T19:40:37.158Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:40:37.158Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:40:37.158Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:40:37.158Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:40:37.158Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:40:37.158Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21657.627 ms) ======
[2026-02-21T19:40:37.158Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-21T19:40:37.940Z] GC before operation: completed in 131.655 ms, heap usage 136.917 MB -> 90.212 MB.
[2026-02-21T19:40:40.470Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:40:43.969Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:40:47.451Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:40:50.953Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:40:52.572Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:40:54.192Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:40:56.701Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:40:58.333Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:40:59.116Z] 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.
[2026-02-21T19:40:59.116Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:40:59.116Z] Top recommended movies for user id 72:
[2026-02-21T19:40:59.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:40:59.116Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:40:59.116Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:40:59.116Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:40:59.116Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:40:59.116Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21575.436 ms) ======
[2026-02-21T19:40:59.116Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-21T19:40:59.116Z] GC before operation: completed in 130.265 ms, heap usage 368.426 MB -> 90.781 MB.
[2026-02-21T19:41:02.590Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:41:05.103Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:41:09.640Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:41:12.157Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:41:13.774Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:41:16.303Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:41:18.806Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:41:20.425Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:41:20.425Z] 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.
[2026-02-21T19:41:20.425Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:41:20.425Z] Top recommended movies for user id 72:
[2026-02-21T19:41:20.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:41:20.425Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:41:20.425Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:41:20.425Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:41:20.425Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:41:20.425Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21510.065 ms) ======
[2026-02-21T19:41:20.425Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-21T19:41:21.205Z] GC before operation: completed in 128.659 ms, heap usage 1.069 GB -> 95.014 MB.
[2026-02-21T19:41:23.740Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:41:27.235Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:41:30.710Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:41:34.188Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:41:34.979Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:41:36.592Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:41:39.101Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:41:40.725Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:41:41.506Z] 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.
[2026-02-21T19:41:41.506Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:41:41.506Z] Top recommended movies for user id 72:
[2026-02-21T19:41:41.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:41:41.506Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:41:41.506Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:41:41.506Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:41:41.506Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:41:41.506Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20447.652 ms) ======
[2026-02-21T19:41:41.506Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-21T19:41:41.506Z] GC before operation: completed in 155.909 ms, heap usage 311.787 MB -> 90.876 MB.
[2026-02-21T19:41:44.982Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:41:47.519Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:41:52.053Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:41:54.562Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:41:56.183Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:41:58.695Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:42:00.310Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:42:01.925Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:42:02.724Z] 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.
[2026-02-21T19:42:02.724Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:42:02.724Z] Top recommended movies for user id 72:
[2026-02-21T19:42:02.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:42:02.724Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:42:02.724Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:42:02.724Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:42:02.724Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:42:02.725Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21270.600 ms) ======
[2026-02-21T19:42:02.725Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-21T19:42:02.725Z] GC before operation: completed in 135.546 ms, heap usage 428.958 MB -> 90.947 MB.
[2026-02-21T19:42:06.202Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:42:08.717Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:42:13.245Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:42:16.113Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:42:17.735Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:42:19.359Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:42:21.870Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:42:23.488Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:42:24.274Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-21T19:42:24.274Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:42:24.274Z] Top recommended movies for user id 72:
[2026-02-21T19:42:24.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:42:24.274Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:42:24.274Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:42:24.274Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:42:24.274Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:42:24.274Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21419.991 ms) ======
[2026-02-21T19:42:24.274Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-21T19:42:24.274Z] GC before operation: completed in 126.152 ms, heap usage 422.428 MB -> 91.063 MB.
[2026-02-21T19:42:27.755Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:42:30.269Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:42:34.785Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:42:37.308Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:42:38.935Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:42:40.616Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:42:42.228Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:42:44.774Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:42:44.774Z] 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.
[2026-02-21T19:42:44.774Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:42:44.774Z] Top recommended movies for user id 72:
[2026-02-21T19:42:44.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:42:44.774Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:42:44.774Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:42:44.774Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:42:44.774Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:42:44.774Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20409.075 ms) ======
[2026-02-21T19:42:44.774Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-21T19:42:44.774Z] GC before operation: completed in 145.107 ms, heap usage 446.473 MB -> 91.016 MB.
[2026-02-21T19:42:48.253Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:42:51.748Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:42:55.233Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:42:58.721Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:43:00.336Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:43:01.958Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:43:04.459Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:43:06.081Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:43:06.081Z] 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.
[2026-02-21T19:43:06.081Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:43:06.081Z] Top recommended movies for user id 72:
[2026-02-21T19:43:06.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:43:06.081Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:43:06.081Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:43:06.081Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:43:06.081Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:43:06.081Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21393.928 ms) ======
[2026-02-21T19:43:06.081Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-21T19:43:06.863Z] GC before operation: completed in 132.350 ms, heap usage 295.868 MB -> 91.056 MB.
[2026-02-21T19:43:09.366Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:43:12.834Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:43:15.532Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:43:18.040Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:43:19.657Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:43:21.290Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:43:24.770Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:43:26.392Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:43:26.392Z] 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.
[2026-02-21T19:43:26.392Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:43:26.392Z] Top recommended movies for user id 72:
[2026-02-21T19:43:26.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:43:26.392Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:43:26.392Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:43:26.392Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:43:26.392Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:43:26.392Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19817.808 ms) ======
[2026-02-21T19:43:26.392Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-21T19:43:26.392Z] GC before operation: completed in 147.177 ms, heap usage 1.528 GB -> 96.152 MB.
[2026-02-21T19:43:29.860Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:43:32.373Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:43:35.843Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:43:39.321Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:43:40.933Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:43:42.559Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:43:44.193Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:43:46.703Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:43:46.703Z] 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.
[2026-02-21T19:43:46.703Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:43:46.703Z] Top recommended movies for user id 72:
[2026-02-21T19:43:46.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:43:46.703Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:43:46.703Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:43:46.703Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:43:46.703Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:43:46.703Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20410.602 ms) ======
[2026-02-21T19:43:46.703Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-21T19:43:46.703Z] GC before operation: completed in 129.210 ms, heap usage 151.783 MB -> 91.071 MB.
[2026-02-21T19:43:50.175Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:43:53.679Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:43:57.165Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:44:00.641Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:44:02.269Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:44:03.890Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:44:06.410Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:44:08.022Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:44:08.022Z] 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.
[2026-02-21T19:44:08.802Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:44:08.802Z] Top recommended movies for user id 72:
[2026-02-21T19:44:08.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:44:08.802Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:44:08.802Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:44:08.802Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:44:08.802Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:44:08.802Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21544.585 ms) ======
[2026-02-21T19:44:08.802Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-21T19:44:08.802Z] GC before operation: completed in 144.975 ms, heap usage 189.922 MB -> 91.136 MB.
[2026-02-21T19:44:11.310Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:44:14.813Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:44:18.293Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:44:20.830Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:44:23.332Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:44:24.951Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:44:27.461Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:44:29.101Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:44:29.102Z] 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.
[2026-02-21T19:44:29.102Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:44:29.884Z] Top recommended movies for user id 72:
[2026-02-21T19:44:29.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:44:29.884Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:44:29.884Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:44:29.884Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:44:29.884Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:44:29.884Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20864.992 ms) ======
[2026-02-21T19:44:29.884Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-21T19:44:29.884Z] GC before operation: completed in 134.925 ms, heap usage 316.244 MB -> 91.069 MB.
[2026-02-21T19:44:32.393Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:44:35.873Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:44:39.364Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:44:41.889Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:44:43.511Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:44:45.316Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:44:47.835Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:44:49.475Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:44:49.475Z] 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.
[2026-02-21T19:44:49.475Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:44:50.271Z] Top recommended movies for user id 72:
[2026-02-21T19:44:50.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:44:50.271Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:44:50.271Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:44:50.271Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:44:50.271Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:44:50.271Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20304.350 ms) ======
[2026-02-21T19:44:50.271Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-21T19:44:50.271Z] GC before operation: completed in 139.739 ms, heap usage 318.731 MB -> 91.233 MB.
[2026-02-21T19:44:53.757Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:44:56.269Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:44:59.742Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:45:03.207Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:45:04.824Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:45:06.438Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:45:08.943Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:45:10.562Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:45:11.365Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-21T19:45:11.365Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:45:11.365Z] Top recommended movies for user id 72:
[2026-02-21T19:45:11.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:45:11.365Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:45:11.365Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:45:11.365Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:45:11.365Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:45:11.365Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20963.872 ms) ======
[2026-02-21T19:45:11.365Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-21T19:45:11.365Z] GC before operation: completed in 150.869 ms, heap usage 2.278 GB -> 97.315 MB.
[2026-02-21T19:45:14.076Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:45:17.550Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:45:21.042Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:45:24.518Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:45:26.132Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:45:27.745Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:45:31.220Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:45:32.858Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:45:32.858Z] 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.
[2026-02-21T19:45:32.858Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:45:33.640Z] Top recommended movies for user id 72:
[2026-02-21T19:45:33.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:45:33.640Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:45:33.640Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:45:33.640Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:45:33.640Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:45:33.640Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22004.334 ms) ======
[2026-02-21T19:45:33.640Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-21T19:45:33.640Z] GC before operation: completed in 128.344 ms, heap usage 321.660 MB -> 91.459 MB.
[2026-02-21T19:45:36.155Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:45:39.642Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:45:43.121Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:45:46.599Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:45:48.218Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:45:49.835Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:45:52.341Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:45:53.962Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:45:53.962Z] 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.
[2026-02-21T19:45:53.962Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:45:53.962Z] Top recommended movies for user id 72:
[2026-02-21T19:45:53.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:45:53.962Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:45:53.962Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:45:53.962Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:45:53.962Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:45:53.962Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20730.066 ms) ======
[2026-02-21T19:45:53.962Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-21T19:45:53.962Z] GC before operation: completed in 130.296 ms, heap usage 549.776 MB -> 91.181 MB.
[2026-02-21T19:45:57.430Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:45:59.945Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:46:04.479Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:46:06.994Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:46:08.611Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:46:11.119Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:46:12.750Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:46:14.514Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:46:15.296Z] 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.
[2026-02-21T19:46:15.297Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:46:15.297Z] Top recommended movies for user id 72:
[2026-02-21T19:46:15.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:46:15.297Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:46:15.297Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:46:15.297Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:46:15.297Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:46:15.297Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20839.963 ms) ======
[2026-02-21T19:46:15.297Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-21T19:46:15.297Z] GC before operation: completed in 151.902 ms, heap usage 378.435 MB -> 91.255 MB.
[2026-02-21T19:46:18.783Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-21T19:46:21.308Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-21T19:46:25.831Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-21T19:46:28.342Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-21T19:46:29.962Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-21T19:46:32.466Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-21T19:46:34.089Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-21T19:46:35.703Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-21T19:46:36.484Z] 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.
[2026-02-21T19:46:36.484Z] The best model improves the baseline by 14.43%.
[2026-02-21T19:46:36.484Z] Top recommended movies for user id 72:
[2026-02-21T19:46:36.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-21T19:46:36.484Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-21T19:46:36.484Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-21T19:46:36.484Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-21T19:46:36.484Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-21T19:46:36.484Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21051.307 ms) ======
[2026-02-21T19:46:37.264Z] -----------------------------------
[2026-02-21T19:46:37.264Z] renaissance-movie-lens_0_PASSED
[2026-02-21T19:46:37.264Z] -----------------------------------
[2026-02-21T19:46:37.264Z]
[2026-02-21T19:46:37.264Z] TEST TEARDOWN:
[2026-02-21T19:46:37.264Z] Nothing to be done for teardown.
[2026-02-21T19:46:37.264Z] renaissance-movie-lens_0 Finish Time: Sat Feb 21 19:46:36 2026 Epoch Time (ms): 1771703196663