renaissance-movie-lens_0
[2025-10-23T21:12:32.340Z] Running test renaissance-movie-lens_0 ...
[2025-10-23T21:12:32.340Z] ===============================================
[2025-10-23T21:12:32.340Z] renaissance-movie-lens_0 Start Time: Thu Oct 23 21:12:31 2025 Epoch Time (ms): 1761253951472
[2025-10-23T21:12:32.340Z] variation: NoOptions
[2025-10-23T21:12:32.340Z] JVM_OPTIONS:
[2025-10-23T21:12:32.340Z] { \
[2025-10-23T21:12:32.340Z] echo ""; echo "TEST SETUP:"; \
[2025-10-23T21:12:32.340Z] echo "Nothing to be done for setup."; \
[2025-10-23T21:12:32.340Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17612523367050/renaissance-movie-lens_0"; \
[2025-10-23T21:12:32.340Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17612523367050/renaissance-movie-lens_0"; \
[2025-10-23T21:12:32.340Z] echo ""; echo "TESTING:"; \
[2025-10-23T21:12:32.340Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17612523367050/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-23T21:12:32.340Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17612523367050/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-23T21:12:32.340Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-23T21:12:32.340Z] echo "Nothing to be done for teardown."; \
[2025-10-23T21:12:32.340Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17612523367050/TestTargetResult";
[2025-10-23T21:12:32.340Z]
[2025-10-23T21:12:32.340Z] TEST SETUP:
[2025-10-23T21:12:32.340Z] Nothing to be done for setup.
[2025-10-23T21:12:32.340Z]
[2025-10-23T21:12:32.340Z] TESTING:
[2025-10-23T21:12:32.340Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-10-23T21:12:32.340Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17612523367050/renaissance-movie-lens_0/launcher-211231-13257264257722347621/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-10-23T21:12:32.340Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-10-23T21:12:32.340Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-10-23T21:12:39.811Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-10-23T21:12:51.488Z] 21:12:51.034 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-10-23T21:12:55.828Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-23T21:12:55.828Z] Training: 60056, validation: 20285, test: 19854
[2025-10-23T21:12:55.828Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-23T21:12:55.828Z] GC before operation: completed in 156.926 ms, heap usage 195.715 MB -> 75.618 MB.
[2025-10-23T21:13:07.882Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:13:13.327Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:13:18.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:13:22.954Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:13:26.006Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:13:29.064Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:13:32.123Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:13:35.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:13:35.170Z] 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.
[2025-10-23T21:13:35.170Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:13:35.170Z] Top recommended movies for user id 72:
[2025-10-23T21:13:35.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:13:35.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:13:35.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:13:35.170Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:13:35.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:13:35.170Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (39340.453 ms) ======
[2025-10-23T21:13:35.170Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-23T21:13:36.137Z] GC before operation: completed in 243.652 ms, heap usage 108.466 MB -> 86.184 MB.
[2025-10-23T21:13:41.048Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:13:45.248Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:13:49.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:13:53.637Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:13:55.614Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:13:58.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:14:01.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:14:03.735Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:14:03.735Z] 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.
[2025-10-23T21:14:03.735Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:14:04.709Z] Top recommended movies for user id 72:
[2025-10-23T21:14:04.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:14:04.709Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:14:04.709Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:14:04.709Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:14:04.709Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:14:04.709Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (28546.230 ms) ======
[2025-10-23T21:14:04.709Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-23T21:14:04.709Z] GC before operation: completed in 262.071 ms, heap usage 504.786 MB -> 88.846 MB.
[2025-10-23T21:14:08.935Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:14:13.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:14:17.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:14:21.527Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:14:23.514Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:14:26.564Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:14:28.544Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:14:30.521Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:14:30.521Z] 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.
[2025-10-23T21:14:31.487Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:14:31.487Z] Top recommended movies for user id 72:
[2025-10-23T21:14:31.487Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:14:31.487Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:14:31.487Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:14:31.487Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:14:31.487Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:14:31.487Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26513.592 ms) ======
[2025-10-23T21:14:31.487Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-23T21:14:31.487Z] GC before operation: completed in 250.307 ms, heap usage 484.021 MB -> 89.490 MB.
[2025-10-23T21:14:35.683Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:14:39.454Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:14:43.769Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:14:47.960Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:14:51.011Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:14:52.984Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:14:54.960Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:14:58.011Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:14:58.011Z] 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.
[2025-10-23T21:14:58.011Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:14:58.011Z] Top recommended movies for user id 72:
[2025-10-23T21:14:58.011Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:14:58.011Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:14:58.011Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:14:58.011Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:14:58.011Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:14:58.011Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (26859.262 ms) ======
[2025-10-23T21:14:58.011Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-23T21:14:58.972Z] GC before operation: completed in 246.065 ms, heap usage 457.436 MB -> 89.739 MB.
[2025-10-23T21:15:03.193Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:15:06.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:15:11.806Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:15:16.006Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:15:17.984Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:15:21.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:15:23.053Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:15:25.035Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:15:26.005Z] 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.
[2025-10-23T21:15:26.005Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:15:26.006Z] Top recommended movies for user id 72:
[2025-10-23T21:15:26.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:15:26.006Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:15:26.006Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:15:26.006Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:15:26.006Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:15:26.006Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (27331.943 ms) ======
[2025-10-23T21:15:26.006Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-23T21:15:26.006Z] GC before operation: completed in 224.472 ms, heap usage 179.397 MB -> 89.342 MB.
[2025-10-23T21:15:30.196Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:15:34.759Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:15:38.958Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:15:42.005Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:15:45.247Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:15:47.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:15:49.210Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:15:51.187Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:15:52.148Z] 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.
[2025-10-23T21:15:52.148Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:15:52.148Z] Top recommended movies for user id 72:
[2025-10-23T21:15:52.148Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:15:52.148Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:15:52.148Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:15:52.148Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:15:52.148Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:15:52.148Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26116.474 ms) ======
[2025-10-23T21:15:52.148Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-23T21:15:52.148Z] GC before operation: completed in 266.400 ms, heap usage 454.564 MB -> 89.994 MB.
[2025-10-23T21:15:56.340Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:16:00.537Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:16:03.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:16:07.803Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:16:09.782Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:16:11.764Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:16:13.745Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:16:16.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:16:16.796Z] 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.
[2025-10-23T21:16:16.796Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:16:16.796Z] Top recommended movies for user id 72:
[2025-10-23T21:16:16.796Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:16:16.796Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:16:16.796Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:16:16.796Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:16:16.796Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:16:16.796Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24319.863 ms) ======
[2025-10-23T21:16:16.796Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-23T21:16:16.796Z] GC before operation: completed in 228.713 ms, heap usage 137.158 MB -> 91.920 MB.
[2025-10-23T21:16:21.001Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:16:24.060Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:16:28.277Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:16:32.040Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:16:34.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:16:35.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:16:39.045Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:16:41.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:16:41.029Z] 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.
[2025-10-23T21:16:41.029Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:16:42.003Z] Top recommended movies for user id 72:
[2025-10-23T21:16:42.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:16:42.003Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:16:42.003Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:16:42.003Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:16:42.003Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:16:42.003Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24482.959 ms) ======
[2025-10-23T21:16:42.003Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-23T21:16:42.003Z] GC before operation: completed in 326.738 ms, heap usage 418.750 MB -> 90.089 MB.
[2025-10-23T21:16:45.043Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:16:49.241Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:16:52.300Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:16:56.505Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:16:58.486Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:17:00.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:17:02.444Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:17:04.417Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:17:05.379Z] 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.
[2025-10-23T21:17:05.379Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:17:05.379Z] Top recommended movies for user id 72:
[2025-10-23T21:17:05.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:17:05.379Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:17:05.379Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:17:05.379Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:17:05.379Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:17:05.379Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23495.549 ms) ======
[2025-10-23T21:17:05.379Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-23T21:17:05.379Z] GC before operation: completed in 248.650 ms, heap usage 157.269 MB -> 91.715 MB.
[2025-10-23T21:17:09.591Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:17:13.800Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:17:16.860Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:17:19.922Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:17:22.974Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:17:24.951Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:17:27.686Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:17:28.653Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:17:28.653Z] 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.
[2025-10-23T21:17:28.653Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:17:28.653Z] Top recommended movies for user id 72:
[2025-10-23T21:17:28.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:17:28.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:17:28.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:17:28.653Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:17:28.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:17:28.653Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23430.778 ms) ======
[2025-10-23T21:17:28.653Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-23T21:17:29.619Z] GC before operation: completed in 245.384 ms, heap usage 762.991 MB -> 93.884 MB.
[2025-10-23T21:17:32.670Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:17:36.919Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:17:41.136Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:17:44.197Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:17:46.176Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:17:48.163Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:17:51.217Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:17:53.205Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:17:54.170Z] 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.
[2025-10-23T21:17:54.170Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:17:54.170Z] Top recommended movies for user id 72:
[2025-10-23T21:17:54.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:17:54.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:17:54.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:17:54.170Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:17:54.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:17:54.170Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (24761.174 ms) ======
[2025-10-23T21:17:54.170Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-23T21:17:54.170Z] GC before operation: completed in 242.381 ms, heap usage 130.896 MB -> 89.682 MB.
[2025-10-23T21:17:58.365Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:18:01.412Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:18:05.606Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:18:09.793Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:18:11.778Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:18:13.764Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:18:15.748Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:18:18.802Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:18:18.802Z] 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.
[2025-10-23T21:18:18.802Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:18:18.802Z] Top recommended movies for user id 72:
[2025-10-23T21:18:18.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:18:18.802Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:18:18.802Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:18:18.802Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:18:18.802Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:18:18.802Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24737.785 ms) ======
[2025-10-23T21:18:18.802Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-23T21:18:18.802Z] GC before operation: completed in 221.008 ms, heap usage 481.619 MB -> 90.226 MB.
[2025-10-23T21:18:23.707Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:18:26.412Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:18:30.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:18:33.680Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:18:35.665Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:18:38.717Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:18:40.708Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:18:42.687Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:18:42.687Z] 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.
[2025-10-23T21:18:42.687Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:18:43.653Z] Top recommended movies for user id 72:
[2025-10-23T21:18:43.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:18:43.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:18:43.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:18:43.653Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:18:43.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:18:43.653Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23985.529 ms) ======
[2025-10-23T21:18:43.653Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-23T21:18:43.653Z] GC before operation: completed in 197.620 ms, heap usage 426.763 MB -> 90.341 MB.
[2025-10-23T21:18:47.844Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:18:50.907Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:18:55.108Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:18:58.156Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:19:00.162Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:19:02.159Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:19:04.140Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:19:06.119Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:19:07.153Z] 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.
[2025-10-23T21:19:07.153Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:19:07.153Z] Top recommended movies for user id 72:
[2025-10-23T21:19:07.153Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:19:07.153Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:19:07.153Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:19:07.153Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:19:07.153Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:19:07.153Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23542.415 ms) ======
[2025-10-23T21:19:07.153Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-23T21:19:07.153Z] GC before operation: completed in 233.238 ms, heap usage 458.804 MB -> 90.107 MB.
[2025-10-23T21:19:11.346Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:19:14.409Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:19:17.477Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:19:20.524Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:19:22.369Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:19:25.421Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:19:27.404Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:19:29.389Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:19:29.389Z] 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.
[2025-10-23T21:19:29.389Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:19:29.389Z] Top recommended movies for user id 72:
[2025-10-23T21:19:29.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:19:29.389Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:19:29.389Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:19:29.389Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:19:29.389Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:19:29.389Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22388.328 ms) ======
[2025-10-23T21:19:29.389Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-23T21:19:29.389Z] GC before operation: completed in 264.892 ms, heap usage 115.305 MB -> 90.007 MB.
[2025-10-23T21:19:32.426Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:19:35.467Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:19:38.516Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:19:41.565Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:19:43.770Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:19:45.743Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:19:46.707Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:19:48.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:19:48.677Z] 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.
[2025-10-23T21:19:48.677Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:19:49.637Z] Top recommended movies for user id 72:
[2025-10-23T21:19:49.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:19:49.637Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:19:49.637Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:19:49.637Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:19:49.637Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:19:49.637Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19399.913 ms) ======
[2025-10-23T21:19:49.637Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-23T21:19:49.637Z] GC before operation: completed in 176.379 ms, heap usage 120.027 MB -> 89.814 MB.
[2025-10-23T21:19:52.684Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:19:54.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:19:57.699Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:20:00.746Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:20:01.808Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:20:03.784Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:20:04.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:20:06.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:20:06.723Z] 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.
[2025-10-23T21:20:06.723Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:20:06.723Z] Top recommended movies for user id 72:
[2025-10-23T21:20:06.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:20:06.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:20:06.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:20:06.723Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:20:06.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:20:06.723Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17463.610 ms) ======
[2025-10-23T21:20:06.723Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-23T21:20:06.723Z] GC before operation: completed in 212.128 ms, heap usage 815.798 MB -> 94.179 MB.
[2025-10-23T21:20:09.762Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:20:12.808Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:20:15.850Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:20:18.541Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:20:20.517Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:20:21.481Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:20:23.447Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:20:25.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:20:25.467Z] 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.
[2025-10-23T21:20:25.467Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:20:25.467Z] Top recommended movies for user id 72:
[2025-10-23T21:20:25.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:20:25.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:20:25.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:20:25.467Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:20:25.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:20:25.467Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18432.358 ms) ======
[2025-10-23T21:20:25.467Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-23T21:20:25.467Z] GC before operation: completed in 209.796 ms, heap usage 371.969 MB -> 90.088 MB.
[2025-10-23T21:20:28.509Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:20:31.550Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:20:34.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:20:36.568Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:20:38.540Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:20:40.507Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:20:41.472Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:20:43.629Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:20:43.629Z] 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.
[2025-10-23T21:20:43.629Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:20:43.629Z] Top recommended movies for user id 72:
[2025-10-23T21:20:43.629Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:20:43.629Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:20:43.629Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:20:43.629Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:20:43.629Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:20:43.629Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18047.110 ms) ======
[2025-10-23T21:20:43.629Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-23T21:20:43.629Z] GC before operation: completed in 191.886 ms, heap usage 123.549 MB -> 92.604 MB.
[2025-10-23T21:20:46.671Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T21:20:49.726Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T21:20:52.771Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T21:20:54.744Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T21:20:56.721Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T21:20:58.693Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T21:20:59.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T21:21:01.627Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T21:21:01.627Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-23T21:21:02.587Z] The best model improves the baseline by 14.52%.
[2025-10-23T21:21:02.587Z] Top recommended movies for user id 72:
[2025-10-23T21:21:02.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T21:21:02.587Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T21:21:02.587Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T21:21:02.587Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T21:21:02.587Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T21:21:02.587Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18263.496 ms) ======
[2025-10-23T21:21:03.545Z] -----------------------------------
[2025-10-23T21:21:03.545Z] renaissance-movie-lens_0_PASSED
[2025-10-23T21:21:03.545Z] -----------------------------------
[2025-10-23T21:21:03.545Z]
[2025-10-23T21:21:03.545Z] TEST TEARDOWN:
[2025-10-23T21:21:03.545Z] Nothing to be done for teardown.
[2025-10-23T21:21:03.545Z] renaissance-movie-lens_0 Finish Time: Thu Oct 23 21:21:02 2025 Epoch Time (ms): 1761254462658