renaissance-movie-lens_0
[2026-01-19T05:04:00.689Z] Running test renaissance-movie-lens_0 ...
[2026-01-19T05:04:00.689Z] ===============================================
[2026-01-19T05:04:00.689Z] renaissance-movie-lens_0 Start Time: Mon Jan 19 05:03:59 2026 Epoch Time (ms): 1768799039925
[2026-01-19T05:04:00.689Z] variation: NoOptions
[2026-01-19T05:04:00.689Z] JVM_OPTIONS:
[2026-01-19T05:04:00.689Z] { \
[2026-01-19T05:04:00.689Z] echo ""; echo "TEST SETUP:"; \
[2026-01-19T05:04:00.689Z] echo "Nothing to be done for setup."; \
[2026-01-19T05:04:00.689Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17687978761872/renaissance-movie-lens_0"; \
[2026-01-19T05:04:00.689Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17687978761872/renaissance-movie-lens_0"; \
[2026-01-19T05:04:00.689Z] echo ""; echo "TESTING:"; \
[2026-01-19T05:04:00.689Z] "/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_17687978761872/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-19T05:04:00.689Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17687978761872/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-19T05:04:00.689Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-19T05:04:00.689Z] echo "Nothing to be done for teardown."; \
[2026-01-19T05:04:00.689Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17687978761872/TestTargetResult";
[2026-01-19T05:04:00.689Z]
[2026-01-19T05:04:00.689Z] TEST SETUP:
[2026-01-19T05:04:00.689Z] Nothing to be done for setup.
[2026-01-19T05:04:00.689Z]
[2026-01-19T05:04:00.689Z] TESTING:
[2026-01-19T05:04:01.468Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-19T05:04:01.468Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17687978761872/renaissance-movie-lens_0/launcher-050400-16819112222920286473/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-19T05:04:01.468Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-19T05:04:01.468Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-19T05:04:20.453Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2026-01-19T05:04:32.277Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-19T05:04:32.277Z] Training: 60056, validation: 20285, test: 19854
[2026-01-19T05:04:32.277Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-19T05:04:32.277Z] GC before operation: completed in 145.631 ms, heap usage 600.206 MB -> 75.609 MB.
[2026-01-19T05:04:37.953Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:04:40.632Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:04:45.178Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:04:47.686Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:04:50.199Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:04:51.812Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:04:54.317Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:04:55.947Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:04:55.947Z] 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.
[2026-01-19T05:04:55.947Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:04:56.728Z] Top recommended movies for user id 72:
[2026-01-19T05:04:56.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:04:56.728Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:04:56.728Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:04:56.728Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:04:56.728Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:04:56.728Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24638.348 ms) ======
[2026-01-19T05:04:56.728Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-19T05:04:56.728Z] GC before operation: completed in 176.466 ms, heap usage 1.040 GB -> 93.453 MB.
[2026-01-19T05:05:00.191Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:05:03.700Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:05:07.198Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:05:10.667Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:05:12.279Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:05:14.796Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:05:16.410Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:05:18.945Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:05:18.945Z] 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.
[2026-01-19T05:05:18.945Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:05:19.724Z] Top recommended movies for user id 72:
[2026-01-19T05:05:19.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:05:19.724Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:05:19.724Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:05:19.724Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:05:19.724Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:05:19.724Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22843.060 ms) ======
[2026-01-19T05:05:19.724Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-19T05:05:19.724Z] GC before operation: completed in 114.597 ms, heap usage 316.990 MB -> 89.832 MB.
[2026-01-19T05:05:23.183Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:05:31.235Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:05:31.235Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:05:33.743Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:05:36.244Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:05:37.858Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:05:40.366Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:05:41.980Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:05:41.980Z] 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.
[2026-01-19T05:05:41.980Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:05:42.762Z] Top recommended movies for user id 72:
[2026-01-19T05:05:42.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:05:42.762Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:05:42.762Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:05:42.762Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:05:42.762Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:05:42.762Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22823.253 ms) ======
[2026-01-19T05:05:42.762Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-19T05:05:42.762Z] GC before operation: completed in 124.274 ms, heap usage 317.356 MB -> 90.523 MB.
[2026-01-19T05:05:46.237Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:05:48.736Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:05:53.269Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:05:55.780Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:05:57.499Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:06:00.011Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:06:01.640Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:06:04.142Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:06:04.142Z] 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.
[2026-01-19T05:06:04.142Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:06:04.142Z] Top recommended movies for user id 72:
[2026-01-19T05:06:04.142Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:06:04.142Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:06:04.142Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:06:04.142Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:06:04.142Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:06:04.142Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21732.279 ms) ======
[2026-01-19T05:06:04.142Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-19T05:06:04.142Z] GC before operation: completed in 119.071 ms, heap usage 173.311 MB -> 90.712 MB.
[2026-01-19T05:06:07.626Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:06:10.127Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:06:13.587Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:06:17.097Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:06:18.711Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:06:20.319Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:06:21.929Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:06:24.437Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:06:24.437Z] 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.
[2026-01-19T05:06:24.437Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:06:24.437Z] Top recommended movies for user id 72:
[2026-01-19T05:06:24.437Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:06:24.437Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:06:24.437Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:06:24.437Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:06:24.437Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:06:24.437Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20182.078 ms) ======
[2026-01-19T05:06:24.437Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-19T05:06:24.437Z] GC before operation: completed in 133.204 ms, heap usage 1.105 GB -> 94.919 MB.
[2026-01-19T05:06:27.905Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:06:31.372Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:06:34.835Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:06:38.314Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:06:39.927Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:06:41.582Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:06:43.360Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:06:44.970Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:06:45.757Z] 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.
[2026-01-19T05:06:45.757Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:06:45.757Z] Top recommended movies for user id 72:
[2026-01-19T05:06:45.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:06:45.757Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:06:45.757Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:06:45.757Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:06:45.757Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:06:45.757Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20847.781 ms) ======
[2026-01-19T05:06:45.757Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-19T05:06:45.757Z] GC before operation: completed in 122.613 ms, heap usage 127.576 MB -> 91.027 MB.
[2026-01-19T05:06:49.239Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:06:51.740Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:06:56.259Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:06:58.906Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:07:00.561Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:07:02.177Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:07:04.698Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:07:06.332Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:07:07.113Z] 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.
[2026-01-19T05:07:07.113Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:07:07.113Z] Top recommended movies for user id 72:
[2026-01-19T05:07:07.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:07:07.113Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:07:07.113Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:07:07.113Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:07:07.113Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:07:07.113Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21266.484 ms) ======
[2026-01-19T05:07:07.113Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-19T05:07:07.113Z] GC before operation: completed in 123.190 ms, heap usage 318.417 MB -> 90.980 MB.
[2026-01-19T05:07:10.608Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:07:13.124Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:07:17.654Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:07:20.161Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:07:22.669Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:07:24.280Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:07:26.788Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:07:28.399Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:07:28.399Z] 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.
[2026-01-19T05:07:28.399Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:07:29.188Z] Top recommended movies for user id 72:
[2026-01-19T05:07:29.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:07:29.188Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:07:29.188Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:07:29.188Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:07:29.188Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:07:29.188Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21826.140 ms) ======
[2026-01-19T05:07:29.188Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-19T05:07:29.188Z] GC before operation: completed in 132.209 ms, heap usage 366.324 MB -> 91.331 MB.
[2026-01-19T05:07:32.663Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:07:36.136Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:07:40.163Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:07:43.160Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:07:44.782Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:07:46.397Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:07:48.910Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:07:50.528Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:07:50.528Z] 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.
[2026-01-19T05:07:50.528Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:07:51.308Z] Top recommended movies for user id 72:
[2026-01-19T05:07:51.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:07:51.308Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:07:51.308Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:07:51.308Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:07:51.308Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:07:51.308Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21947.438 ms) ======
[2026-01-19T05:07:51.308Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-19T05:07:51.308Z] GC before operation: completed in 123.520 ms, heap usage 270.909 MB -> 90.999 MB.
[2026-01-19T05:07:53.814Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:07:57.281Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:08:00.803Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:08:04.270Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:08:05.882Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:08:07.503Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:08:10.048Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:08:11.714Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:08:12.497Z] 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.
[2026-01-19T05:08:12.497Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:08:12.497Z] Top recommended movies for user id 72:
[2026-01-19T05:08:12.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:08:12.497Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:08:12.497Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:08:12.497Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:08:12.497Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:08:12.497Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21455.292 ms) ======
[2026-01-19T05:08:12.497Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-19T05:08:12.497Z] GC before operation: completed in 123.269 ms, heap usage 321.154 MB -> 91.588 MB.
[2026-01-19T05:08:15.972Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:08:18.495Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:08:23.004Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:08:25.529Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:08:28.036Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:08:29.653Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:08:31.301Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:08:33.804Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:08:33.804Z] 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.
[2026-01-19T05:08:33.804Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:08:33.804Z] Top recommended movies for user id 72:
[2026-01-19T05:08:33.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:08:33.804Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:08:33.805Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:08:33.805Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:08:33.805Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:08:33.805Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21134.061 ms) ======
[2026-01-19T05:08:33.805Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-19T05:08:33.805Z] GC before operation: completed in 129.690 ms, heap usage 325.506 MB -> 91.169 MB.
[2026-01-19T05:08:37.267Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:08:39.777Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:08:44.425Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:08:46.929Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:08:48.542Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:08:51.051Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:08:52.673Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:08:54.295Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:08:55.086Z] 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.
[2026-01-19T05:08:55.086Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:08:55.086Z] Top recommended movies for user id 72:
[2026-01-19T05:08:55.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:08:55.086Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:08:55.086Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:08:55.086Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:08:55.086Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:08:55.086Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21239.298 ms) ======
[2026-01-19T05:08:55.086Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-19T05:08:55.086Z] GC before operation: completed in 133.216 ms, heap usage 301.513 MB -> 91.441 MB.
[2026-01-19T05:08:58.550Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:09:02.037Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:09:05.509Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:09:08.989Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:09:10.609Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:09:12.230Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:09:14.733Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:09:16.358Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:09:17.138Z] 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.
[2026-01-19T05:09:17.138Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:09:17.138Z] Top recommended movies for user id 72:
[2026-01-19T05:09:17.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:09:17.138Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:09:17.138Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:09:17.138Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:09:17.138Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:09:17.138Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21779.847 ms) ======
[2026-01-19T05:09:17.138Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-19T05:09:17.138Z] GC before operation: completed in 122.305 ms, heap usage 129.347 MB -> 91.391 MB.
[2026-01-19T05:09:20.604Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:09:23.100Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:09:26.567Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:09:30.039Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:09:31.662Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:09:33.273Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:09:35.800Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:09:37.417Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:09:38.352Z] 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.
[2026-01-19T05:09:38.352Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:09:38.352Z] Top recommended movies for user id 72:
[2026-01-19T05:09:38.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:09:38.352Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:09:38.352Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:09:38.352Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:09:38.352Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:09:38.352Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21018.527 ms) ======
[2026-01-19T05:09:38.352Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-19T05:09:38.352Z] GC before operation: completed in 130.379 ms, heap usage 118.494 MB -> 91.279 MB.
[2026-01-19T05:09:42.011Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:09:44.567Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:09:49.216Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:09:52.697Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:09:54.309Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:09:55.916Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:09:58.414Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:10:00.918Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:10:00.918Z] 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.
[2026-01-19T05:10:00.918Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:10:00.918Z] Top recommended movies for user id 72:
[2026-01-19T05:10:00.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:10:00.918Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:10:00.918Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:10:00.918Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:10:00.918Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:10:00.918Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22723.381 ms) ======
[2026-01-19T05:10:00.918Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-19T05:10:00.918Z] GC before operation: completed in 123.492 ms, heap usage 377.075 MB -> 91.620 MB.
[2026-01-19T05:10:04.395Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:10:07.879Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:10:11.350Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:10:14.836Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:10:16.488Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:10:18.110Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:10:20.630Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:10:23.145Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:10:23.145Z] 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.
[2026-01-19T05:10:23.145Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:10:23.145Z] Top recommended movies for user id 72:
[2026-01-19T05:10:23.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:10:23.145Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:10:23.145Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:10:23.145Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:10:23.145Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:10:23.145Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21991.151 ms) ======
[2026-01-19T05:10:23.145Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-19T05:10:23.145Z] GC before operation: completed in 124.132 ms, heap usage 294.876 MB -> 91.258 MB.
[2026-01-19T05:10:26.615Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:10:29.135Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:10:32.604Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:10:36.067Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:10:37.680Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:10:39.301Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:10:41.817Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:10:43.455Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:10:44.235Z] 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.
[2026-01-19T05:10:44.235Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:10:44.235Z] Top recommended movies for user id 72:
[2026-01-19T05:10:44.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:10:44.235Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:10:44.235Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:10:44.235Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:10:44.235Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:10:44.235Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20736.913 ms) ======
[2026-01-19T05:10:44.235Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-19T05:10:44.235Z] GC before operation: completed in 118.084 ms, heap usage 322.772 MB -> 91.449 MB.
[2026-01-19T05:10:47.703Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:10:50.215Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:10:54.721Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:10:58.185Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:10:59.795Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:11:01.409Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:11:03.017Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:11:05.531Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:11:05.531Z] 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.
[2026-01-19T05:11:05.531Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:11:05.531Z] Top recommended movies for user id 72:
[2026-01-19T05:11:05.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:11:05.531Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:11:05.531Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:11:05.531Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:11:05.531Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:11:05.531Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21464.585 ms) ======
[2026-01-19T05:11:05.531Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-19T05:11:05.531Z] GC before operation: completed in 133.066 ms, heap usage 310.410 MB -> 91.208 MB.
[2026-01-19T05:11:08.996Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:11:11.502Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:11:16.025Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:11:18.545Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:11:21.051Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:11:22.668Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:11:25.182Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:11:26.798Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:11:26.798Z] 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.
[2026-01-19T05:11:26.798Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:11:27.644Z] Top recommended movies for user id 72:
[2026-01-19T05:11:27.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:11:27.644Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:11:27.644Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:11:27.644Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:11:27.644Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:11:27.644Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21419.630 ms) ======
[2026-01-19T05:11:27.644Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-19T05:11:27.644Z] GC before operation: completed in 120.523 ms, heap usage 310.318 MB -> 91.367 MB.
[2026-01-19T05:11:32.280Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T05:11:33.889Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T05:11:38.433Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T05:11:40.938Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T05:11:42.568Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T05:11:45.101Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T05:11:48.566Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T05:11:50.183Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T05:11:50.963Z] 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.
[2026-01-19T05:11:50.963Z] The best model improves the baseline by 14.43%.
[2026-01-19T05:11:50.963Z] Top recommended movies for user id 72:
[2026-01-19T05:11:50.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-19T05:11:50.963Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-19T05:11:50.963Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-19T05:11:50.963Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-19T05:11:50.963Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-19T05:11:50.963Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23409.733 ms) ======
[2026-01-19T05:11:51.742Z] -----------------------------------
[2026-01-19T05:11:51.742Z] renaissance-movie-lens_0_PASSED
[2026-01-19T05:11:51.742Z] -----------------------------------
[2026-01-19T05:11:51.742Z]
[2026-01-19T05:11:51.742Z] TEST TEARDOWN:
[2026-01-19T05:11:51.742Z] Nothing to be done for teardown.
[2026-01-19T05:11:51.742Z] renaissance-movie-lens_0 Finish Time: Mon Jan 19 05:11:50 2026 Epoch Time (ms): 1768799510954