renaissance-movie-lens_0
[2026-02-28T23:03:30.790Z] Running test renaissance-movie-lens_0 ...
[2026-02-28T23:03:30.790Z] ===============================================
[2026-02-28T23:03:30.790Z] renaissance-movie-lens_0 Start Time: Sat Feb 28 23:03:29 2026 Epoch Time (ms): 1772319809760
[2026-02-28T23:03:30.790Z] variation: NoOptions
[2026-02-28T23:03:30.790Z] JVM_OPTIONS:
[2026-02-28T23:03:30.790Z] { \
[2026-02-28T23:03:30.790Z] echo ""; echo "TEST SETUP:"; \
[2026-02-28T23:03:30.790Z] echo "Nothing to be done for setup."; \
[2026-02-28T23:03:30.790Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17723183792777/renaissance-movie-lens_0"; \
[2026-02-28T23:03:30.790Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17723183792777/renaissance-movie-lens_0"; \
[2026-02-28T23:03:30.790Z] echo ""; echo "TESTING:"; \
[2026-02-28T23:03:30.790Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17723183792777/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-28T23:03:30.790Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17723183792777/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-28T23:03:30.790Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-28T23:03:30.790Z] echo "Nothing to be done for teardown."; \
[2026-02-28T23:03:30.791Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17723183792777/TestTargetResult";
[2026-02-28T23:03:30.791Z]
[2026-02-28T23:03:30.791Z] TEST SETUP:
[2026-02-28T23:03:30.791Z] Nothing to be done for setup.
[2026-02-28T23:03:30.791Z]
[2026-02-28T23:03:30.791Z] TESTING:
[2026-02-28T23:03:30.791Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-28T23:03:30.791Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17723183792777/renaissance-movie-lens_0/launcher-230330-10811426223678981623/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-28T23:03:30.791Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-28T23:03:30.791Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-28T23:03:42.410Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-28T23:03:56.026Z] 23:03:55.744 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-28T23:03:59.417Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-28T23:04:01.001Z] Training: 60056, validation: 20285, test: 19854
[2026-02-28T23:04:01.001Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-28T23:04:01.001Z] GC before operation: completed in 295.059 ms, heap usage 203.911 MB -> 76.032 MB.
[2026-02-28T23:04:15.187Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:04:26.819Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:04:32.392Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:04:40.273Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:04:53.975Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:04:57.356Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:05:00.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:05:04.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:05:04.132Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:05:04.132Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:05:04.894Z] Top recommended movies for user id 72:
[2026-02-28T23:05:04.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:05:04.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:05:04.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:05:04.894Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:05:04.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:05:04.894Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (63530.578 ms) ======
[2026-02-28T23:05:04.894Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-28T23:05:04.894Z] GC before operation: completed in 284.931 ms, heap usage 708.967 MB -> 97.985 MB.
[2026-02-28T23:05:10.968Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:05:16.556Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:05:22.095Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:05:27.637Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:05:31.026Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:05:34.419Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:05:37.808Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:05:41.277Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:05:41.277Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:05:41.277Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:05:42.047Z] Top recommended movies for user id 72:
[2026-02-28T23:05:42.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:05:42.047Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:05:42.047Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:05:42.047Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:05:42.047Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:05:42.047Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (36811.665 ms) ======
[2026-02-28T23:05:42.047Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-28T23:05:42.047Z] GC before operation: completed in 342.873 ms, heap usage 522.926 MB -> 88.838 MB.
[2026-02-28T23:05:48.859Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:05:53.283Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:05:58.923Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:06:04.468Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:06:07.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:06:11.237Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:06:14.611Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:06:17.995Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:06:17.995Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:06:17.995Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:06:17.995Z] Top recommended movies for user id 72:
[2026-02-28T23:06:17.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:06:17.995Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:06:17.995Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:06:17.995Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:06:17.995Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:06:17.995Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (36177.561 ms) ======
[2026-02-28T23:06:17.995Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-28T23:06:18.762Z] GC before operation: completed in 278.261 ms, heap usage 620.764 MB -> 92.994 MB.
[2026-02-28T23:06:24.310Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:06:28.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:06:34.284Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:06:39.843Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:06:42.277Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:06:46.168Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:06:49.555Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:06:51.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:06:51.991Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:06:51.991Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:06:52.756Z] Top recommended movies for user id 72:
[2026-02-28T23:06:52.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:06:52.756Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:06:52.756Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:06:52.756Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:06:52.756Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:06:52.756Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (33937.970 ms) ======
[2026-02-28T23:06:52.756Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-28T23:06:52.756Z] GC before operation: completed in 211.866 ms, heap usage 270.079 MB -> 89.538 MB.
[2026-02-28T23:06:58.298Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:07:02.748Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:07:08.302Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:07:12.715Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:07:16.114Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:07:19.510Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:07:22.902Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:07:25.336Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:07:26.105Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:07:26.105Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:07:26.863Z] Top recommended movies for user id 72:
[2026-02-28T23:07:26.863Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:07:26.863Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:07:26.863Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:07:26.863Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:07:26.863Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:07:26.863Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (33747.213 ms) ======
[2026-02-28T23:07:26.863Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-28T23:07:26.863Z] GC before operation: completed in 330.399 ms, heap usage 405.531 MB -> 89.646 MB.
[2026-02-28T23:07:32.421Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:07:36.840Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:07:42.520Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:07:46.926Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:07:50.307Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:07:52.754Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:07:56.132Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:07:58.584Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:07:58.584Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:07:58.584Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:07:59.340Z] Top recommended movies for user id 72:
[2026-02-28T23:07:59.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:07:59.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:07:59.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:07:59.340Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:07:59.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:07:59.340Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (32163.019 ms) ======
[2026-02-28T23:07:59.340Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-28T23:07:59.340Z] GC before operation: completed in 294.084 ms, heap usage 240.031 MB -> 89.710 MB.
[2026-02-28T23:08:04.872Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:08:09.297Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:08:14.861Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:08:19.319Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:08:21.752Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:08:24.192Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:08:27.159Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:08:30.552Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:08:30.552Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:08:30.552Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:08:31.334Z] Top recommended movies for user id 72:
[2026-02-28T23:08:31.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:08:31.334Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:08:31.334Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:08:31.334Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:08:31.334Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:08:31.334Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (31832.721 ms) ======
[2026-02-28T23:08:31.334Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-28T23:08:31.334Z] GC before operation: completed in 258.229 ms, heap usage 494.713 MB -> 90.061 MB.
[2026-02-28T23:08:36.878Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:08:41.398Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:08:45.816Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:08:50.212Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:08:53.603Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:08:56.965Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:09:00.342Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:09:02.789Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:09:03.543Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:09:03.543Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:09:04.301Z] Top recommended movies for user id 72:
[2026-02-28T23:09:04.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:09:04.301Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:09:04.301Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:09:04.301Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:09:04.301Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:09:04.301Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (32729.759 ms) ======
[2026-02-28T23:09:04.301Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-28T23:09:04.301Z] GC before operation: completed in 266.512 ms, heap usage 219.897 MB -> 89.903 MB.
[2026-02-28T23:09:08.694Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:09:13.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:09:18.093Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:09:22.524Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:09:25.918Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:09:28.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:09:33.018Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:09:36.413Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:09:36.413Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:09:36.413Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:09:37.180Z] Top recommended movies for user id 72:
[2026-02-28T23:09:37.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:09:37.180Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:09:37.180Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:09:37.180Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:09:37.180Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:09:37.181Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (32709.878 ms) ======
[2026-02-28T23:09:37.181Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-28T23:09:37.181Z] GC before operation: completed in 212.278 ms, heap usage 294.977 MB -> 90.018 MB.
[2026-02-28T23:09:42.750Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:09:47.306Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:09:51.778Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:09:56.213Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:09:59.619Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:10:02.053Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:10:04.658Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:10:08.058Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:10:08.058Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:10:08.058Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:10:08.829Z] Top recommended movies for user id 72:
[2026-02-28T23:10:08.829Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:10:08.829Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:10:08.829Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:10:08.829Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:10:08.829Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:10:08.829Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (31325.542 ms) ======
[2026-02-28T23:10:08.829Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-28T23:10:08.829Z] GC before operation: completed in 286.839 ms, heap usage 447.091 MB -> 90.335 MB.
[2026-02-28T23:10:14.423Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:10:18.856Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:10:24.426Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:10:28.886Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:10:31.344Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:10:33.829Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:10:37.248Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:10:45.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:10:45.483Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:10:45.483Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:10:45.483Z] Top recommended movies for user id 72:
[2026-02-28T23:10:45.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:10:45.483Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:10:45.483Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:10:45.483Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:10:45.483Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:10:45.483Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (36746.296 ms) ======
[2026-02-28T23:10:45.483Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-28T23:10:46.240Z] GC before operation: completed in 234.872 ms, heap usage 302.677 MB -> 89.895 MB.
[2026-02-28T23:10:54.482Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:11:04.211Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:11:09.794Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:11:14.244Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:11:16.700Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:11:20.093Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:11:23.506Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:11:26.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:11:26.914Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:11:26.914Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:11:27.682Z] Top recommended movies for user id 72:
[2026-02-28T23:11:27.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:11:27.682Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:11:27.682Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:11:27.682Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:11:27.682Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:11:27.682Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (41362.113 ms) ======
[2026-02-28T23:11:27.682Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-28T23:11:27.682Z] GC before operation: completed in 233.223 ms, heap usage 424.375 MB -> 90.193 MB.
[2026-02-28T23:11:32.137Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:11:37.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:11:42.267Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:11:48.338Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:11:50.800Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:11:53.253Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:11:56.668Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:12:00.078Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:12:00.078Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:12:00.078Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:12:00.078Z] Top recommended movies for user id 72:
[2026-02-28T23:12:00.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:12:00.078Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:12:00.078Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:12:00.078Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:12:00.078Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:12:00.078Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (32875.965 ms) ======
[2026-02-28T23:12:00.078Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-28T23:12:00.845Z] GC before operation: completed in 248.250 ms, heap usage 418.402 MB -> 90.254 MB.
[2026-02-28T23:12:06.437Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:12:10.899Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:12:15.343Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:12:20.926Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:12:24.322Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:12:26.776Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:12:30.208Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:12:32.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:12:33.447Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:12:33.447Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:12:33.447Z] Top recommended movies for user id 72:
[2026-02-28T23:12:33.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:12:33.447Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:12:33.447Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:12:33.447Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:12:33.447Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:12:33.447Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (33037.100 ms) ======
[2026-02-28T23:12:33.447Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-28T23:12:34.205Z] GC before operation: completed in 224.243 ms, heap usage 209.313 MB -> 89.925 MB.
[2026-02-28T23:12:38.652Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:12:42.556Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:12:48.120Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:12:52.565Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:12:55.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:12:58.445Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:13:00.929Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:13:04.338Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:13:04.338Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:13:04.338Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:13:05.107Z] Top recommended movies for user id 72:
[2026-02-28T23:13:05.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:13:05.107Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:13:05.107Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:13:05.107Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:13:05.107Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:13:05.107Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (31044.236 ms) ======
[2026-02-28T23:13:05.107Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-28T23:13:05.107Z] GC before operation: completed in 281.042 ms, heap usage 292.183 MB -> 90.277 MB.
[2026-02-28T23:13:10.692Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:13:16.253Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:13:20.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:13:25.146Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:13:29.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:13:31.538Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:13:34.961Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:13:37.426Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:13:38.190Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:13:38.190Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:13:38.959Z] Top recommended movies for user id 72:
[2026-02-28T23:13:38.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:13:38.959Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:13:38.959Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:13:38.959Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:13:38.959Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:13:38.959Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (33366.742 ms) ======
[2026-02-28T23:13:38.959Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-28T23:13:38.959Z] GC before operation: completed in 254.838 ms, heap usage 161.400 MB -> 90.039 MB.
[2026-02-28T23:13:44.509Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:13:48.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:13:54.564Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:14:00.157Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:14:02.601Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:14:06.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:14:09.397Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:14:12.806Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:14:13.566Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:14:13.566Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:14:13.566Z] Top recommended movies for user id 72:
[2026-02-28T23:14:13.566Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:14:13.566Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:14:13.566Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:14:13.566Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:14:13.566Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:14:13.566Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (35067.381 ms) ======
[2026-02-28T23:14:13.566Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-28T23:14:14.335Z] GC before operation: completed in 298.791 ms, heap usage 495.793 MB -> 90.499 MB.
[2026-02-28T23:14:20.458Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:14:24.928Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:14:30.512Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:14:36.096Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:14:39.590Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:14:43.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:14:46.568Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:14:50.002Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:14:50.764Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:14:50.764Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:14:50.764Z] Top recommended movies for user id 72:
[2026-02-28T23:14:50.764Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:14:50.764Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:14:50.764Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:14:50.764Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:14:50.764Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:14:50.764Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (36556.905 ms) ======
[2026-02-28T23:14:50.764Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-28T23:14:50.764Z] GC before operation: completed in 284.592 ms, heap usage 169.461 MB -> 89.936 MB.
[2026-02-28T23:14:56.398Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:15:01.988Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:15:07.685Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:15:12.504Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:15:15.901Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:15:19.306Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:15:21.779Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:15:25.207Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:15:25.207Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:15:25.207Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:15:25.981Z] Top recommended movies for user id 72:
[2026-02-28T23:15:25.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:15:25.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:15:25.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:15:25.981Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:15:25.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:15:25.981Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (34698.448 ms) ======
[2026-02-28T23:15:25.982Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-28T23:15:25.982Z] GC before operation: completed in 252.812 ms, heap usage 527.785 MB -> 90.500 MB.
[2026-02-28T23:15:31.551Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-28T23:15:38.833Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-28T23:15:44.393Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-28T23:15:48.847Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-28T23:15:52.267Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-28T23:15:55.682Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-28T23:15:58.659Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-28T23:16:02.087Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-28T23:16:02.087Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-28T23:16:02.087Z] The best model improves the baseline by 14.52%.
[2026-02-28T23:16:02.087Z] Top recommended movies for user id 72:
[2026-02-28T23:16:02.087Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-28T23:16:02.087Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-28T23:16:02.087Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-28T23:16:02.087Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-28T23:16:02.087Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-28T23:16:02.087Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (36328.809 ms) ======
[2026-02-28T23:16:03.665Z] -----------------------------------
[2026-02-28T23:16:03.665Z] renaissance-movie-lens_0_PASSED
[2026-02-28T23:16:03.665Z] -----------------------------------
[2026-02-28T23:16:03.665Z]
[2026-02-28T23:16:03.665Z] TEST TEARDOWN:
[2026-02-28T23:16:03.665Z] Nothing to be done for teardown.
[2026-02-28T23:16:03.665Z] renaissance-movie-lens_0 Finish Time: Sat Feb 28 23:16:02 2026 Epoch Time (ms): 1772320562926