renaissance-movie-lens_0
[2025-12-20T15:22:15.734Z] Running test renaissance-movie-lens_0 ...
[2025-12-20T15:22:15.734Z] ===============================================
[2025-12-20T15:22:15.734Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 15:22:15 2025 Epoch Time (ms): 1766244135040
[2025-12-20T15:22:15.734Z] variation: NoOptions
[2025-12-20T15:22:15.734Z] JVM_OPTIONS:
[2025-12-20T15:22:15.734Z] { \
[2025-12-20T15:22:15.734Z] echo ""; echo "TEST SETUP:"; \
[2025-12-20T15:22:15.734Z] echo "Nothing to be done for setup."; \
[2025-12-20T15:22:15.734Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17662422493056/renaissance-movie-lens_0"; \
[2025-12-20T15:22:15.734Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17662422493056/renaissance-movie-lens_0"; \
[2025-12-20T15:22:15.734Z] echo ""; echo "TESTING:"; \
[2025-12-20T15:22:15.734Z] "/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_17662422493056/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-20T15:22:15.734Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17662422493056/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-20T15:22:15.734Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-20T15:22:15.734Z] echo "Nothing to be done for teardown."; \
[2025-12-20T15:22:15.734Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17662422493056/TestTargetResult";
[2025-12-20T15:22:15.734Z]
[2025-12-20T15:22:15.734Z] TEST SETUP:
[2025-12-20T15:22:15.734Z] Nothing to be done for setup.
[2025-12-20T15:22:15.734Z]
[2025-12-20T15:22:15.734Z] TESTING:
[2025-12-20T15:22:16.487Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-20T15:22:16.487Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17662422493056/renaissance-movie-lens_0/launcher-152215-3022277360027276915/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-20T15:22:16.487Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-20T15:22:16.487Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-20T15:22:24.687Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-12-20T15:22:38.301Z] 15:22:36.271 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.
[2025-12-20T15:22:39.880Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-20T15:22:41.166Z] Training: 60056, validation: 20285, test: 19854
[2025-12-20T15:22:41.166Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-20T15:22:41.166Z] GC before operation: completed in 314.208 ms, heap usage 490.487 MB -> 75.804 MB.
[2025-12-20T15:22:50.992Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:22:57.794Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:23:04.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:23:09.060Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:23:11.536Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:23:14.923Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:23:18.305Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:23:20.753Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:23:20.753Z] 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.
[2025-12-20T15:23:20.753Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:23:21.530Z] Top recommended movies for user id 72:
[2025-12-20T15:23:21.530Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:23:21.530Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:23:21.530Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:23:21.530Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:23:21.530Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:23:21.530Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (40199.966 ms) ======
[2025-12-20T15:23:21.530Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-20T15:23:21.530Z] GC before operation: completed in 214.116 ms, heap usage 456.082 MB -> 96.659 MB.
[2025-12-20T15:23:27.089Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:23:31.767Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:23:36.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:23:40.604Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:23:43.046Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:23:46.426Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:23:48.874Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:23:51.331Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:23:52.092Z] 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.
[2025-12-20T15:23:52.092Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:23:52.092Z] Top recommended movies for user id 72:
[2025-12-20T15:23:52.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:23:52.092Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:23:52.092Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:23:52.092Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:23:52.092Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:23:52.092Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (30894.110 ms) ======
[2025-12-20T15:23:52.092Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-20T15:23:52.846Z] GC before operation: completed in 265.996 ms, heap usage 445.834 MB -> 88.664 MB.
[2025-12-20T15:23:57.259Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:24:01.735Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:24:06.154Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:24:10.584Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:24:12.683Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:24:15.119Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:24:18.509Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:24:20.960Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:24:20.960Z] 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.
[2025-12-20T15:24:20.960Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:24:21.722Z] Top recommended movies for user id 72:
[2025-12-20T15:24:21.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:24:21.722Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:24:21.722Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:24:21.722Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:24:21.722Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:24:21.722Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (28792.216 ms) ======
[2025-12-20T15:24:21.722Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-20T15:24:21.722Z] GC before operation: completed in 234.203 ms, heap usage 237.844 MB -> 89.051 MB.
[2025-12-20T15:24:26.147Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:24:30.561Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:24:34.995Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:24:39.436Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:24:41.930Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:24:44.372Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:24:46.814Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:24:49.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:24:50.024Z] 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.
[2025-12-20T15:24:50.024Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:24:50.024Z] Top recommended movies for user id 72:
[2025-12-20T15:24:50.024Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:24:50.024Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:24:50.024Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:24:50.024Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:24:50.024Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:24:50.024Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28346.013 ms) ======
[2025-12-20T15:24:50.024Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-20T15:24:50.024Z] GC before operation: completed in 176.250 ms, heap usage 201.242 MB -> 89.315 MB.
[2025-12-20T15:24:54.443Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:24:59.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:25:03.742Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:25:08.148Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:25:10.588Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:25:13.034Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:25:16.419Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:25:18.869Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:25:19.640Z] 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.
[2025-12-20T15:25:19.640Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:25:19.640Z] Top recommended movies for user id 72:
[2025-12-20T15:25:19.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:25:19.640Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:25:19.640Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:25:19.640Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:25:19.640Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:25:19.640Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (29323.674 ms) ======
[2025-12-20T15:25:19.640Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-20T15:25:19.640Z] GC before operation: completed in 267.572 ms, heap usage 391.990 MB -> 89.564 MB.
[2025-12-20T15:25:24.127Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:25:28.615Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:25:33.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:25:37.448Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:25:39.884Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:25:42.612Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:25:45.998Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:25:47.576Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:25:48.338Z] 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.
[2025-12-20T15:25:48.338Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:25:48.338Z] Top recommended movies for user id 72:
[2025-12-20T15:25:48.338Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:25:48.338Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:25:48.338Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:25:48.338Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:25:48.338Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:25:48.338Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (28734.284 ms) ======
[2025-12-20T15:25:48.338Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-20T15:25:49.097Z] GC before operation: completed in 201.763 ms, heap usage 443.477 MB -> 90.040 MB.
[2025-12-20T15:25:52.492Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:25:57.075Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:26:02.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:26:06.106Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:26:08.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:26:10.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:26:14.348Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:26:15.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:26:16.680Z] 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.
[2025-12-20T15:26:16.680Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:26:16.680Z] Top recommended movies for user id 72:
[2025-12-20T15:26:16.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:26:16.680Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:26:16.680Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:26:16.680Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:26:16.680Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:26:16.680Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (28160.357 ms) ======
[2025-12-20T15:26:16.680Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-20T15:26:17.453Z] GC before operation: completed in 320.737 ms, heap usage 383.233 MB -> 89.848 MB.
[2025-12-20T15:26:21.862Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:26:25.768Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:26:30.179Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:26:34.639Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:26:37.082Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:26:39.521Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:26:42.920Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:26:45.367Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:26:45.368Z] 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.
[2025-12-20T15:26:45.368Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:26:45.368Z] Top recommended movies for user id 72:
[2025-12-20T15:26:45.368Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:26:45.368Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:26:45.368Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:26:45.368Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:26:45.368Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:26:45.368Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28438.509 ms) ======
[2025-12-20T15:26:45.368Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-20T15:26:46.128Z] GC before operation: completed in 186.733 ms, heap usage 428.353 MB -> 90.024 MB.
[2025-12-20T15:26:49.512Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:26:53.913Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:26:58.357Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:27:01.740Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:27:04.180Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:27:07.051Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:27:08.622Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:27:11.053Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:27:11.053Z] 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.
[2025-12-20T15:27:11.053Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:27:11.822Z] Top recommended movies for user id 72:
[2025-12-20T15:27:11.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:27:11.822Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:27:11.822Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:27:11.822Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:27:11.822Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:27:11.822Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25574.735 ms) ======
[2025-12-20T15:27:11.822Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-20T15:27:11.822Z] GC before operation: completed in 208.234 ms, heap usage 243.000 MB -> 89.651 MB.
[2025-12-20T15:27:15.199Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:27:19.656Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:27:23.055Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:27:26.434Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:27:28.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:27:30.550Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:27:32.980Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:27:35.418Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:27:35.418Z] 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.
[2025-12-20T15:27:35.418Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:27:36.178Z] Top recommended movies for user id 72:
[2025-12-20T15:27:36.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:27:36.178Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:27:36.178Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:27:36.178Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:27:36.178Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:27:36.178Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (24304.293 ms) ======
[2025-12-20T15:27:36.178Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-20T15:27:36.178Z] GC before operation: completed in 169.058 ms, heap usage 140.424 MB -> 89.758 MB.
[2025-12-20T15:27:40.661Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:27:44.045Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:27:48.504Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:27:51.899Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:27:55.781Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:27:58.244Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:28:00.737Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:28:03.190Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:28:03.191Z] 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.
[2025-12-20T15:28:03.191Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:28:03.953Z] Top recommended movies for user id 72:
[2025-12-20T15:28:03.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:28:03.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:28:03.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:28:03.953Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:28:03.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:28:03.953Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (27561.900 ms) ======
[2025-12-20T15:28:03.953Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-20T15:28:03.953Z] GC before operation: completed in 198.940 ms, heap usage 448.032 MB -> 90.006 MB.
[2025-12-20T15:28:08.374Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:28:12.807Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:28:17.224Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:28:24.008Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:28:26.453Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:28:28.894Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:28:31.342Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:28:33.785Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:28:33.785Z] 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.
[2025-12-20T15:28:33.785Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:28:34.568Z] Top recommended movies for user id 72:
[2025-12-20T15:28:34.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:28:34.568Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:28:34.568Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:28:34.568Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:28:34.568Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:28:34.568Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (30446.797 ms) ======
[2025-12-20T15:28:34.568Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-20T15:28:34.568Z] GC before operation: completed in 183.307 ms, heap usage 384.203 MB -> 90.084 MB.
[2025-12-20T15:28:38.458Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:28:41.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:28:46.295Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:28:49.686Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:28:52.127Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:28:53.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:28:56.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:28:58.760Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:28:58.760Z] 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.
[2025-12-20T15:28:58.760Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:28:58.760Z] Top recommended movies for user id 72:
[2025-12-20T15:28:58.760Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:28:58.760Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:28:58.760Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:28:58.760Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:28:58.760Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:28:58.760Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24418.870 ms) ======
[2025-12-20T15:28:58.760Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-20T15:28:59.530Z] GC before operation: completed in 233.917 ms, heap usage 699.897 MB -> 93.841 MB.
[2025-12-20T15:29:02.916Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:29:06.325Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:29:10.724Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:29:13.161Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:29:14.737Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:29:17.184Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:29:19.259Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:29:21.694Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:29:21.694Z] 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.
[2025-12-20T15:29:21.694Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:29:21.694Z] Top recommended movies for user id 72:
[2025-12-20T15:29:21.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:29:21.694Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:29:21.694Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:29:21.694Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:29:21.694Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:29:21.694Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22606.721 ms) ======
[2025-12-20T15:29:21.694Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-20T15:29:21.694Z] GC before operation: completed in 175.721 ms, heap usage 205.200 MB -> 89.784 MB.
[2025-12-20T15:29:24.137Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:29:26.573Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:29:29.003Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:29:31.578Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:29:33.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:29:34.715Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:29:35.481Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:29:37.055Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:29:37.810Z] 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.
[2025-12-20T15:29:37.810Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:29:37.810Z] Top recommended movies for user id 72:
[2025-12-20T15:29:37.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:29:37.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:29:37.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:29:37.810Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:29:37.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:29:37.810Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15753.304 ms) ======
[2025-12-20T15:29:37.810Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-20T15:29:37.810Z] GC before operation: completed in 109.344 ms, heap usage 369.334 MB -> 90.305 MB.
[2025-12-20T15:29:40.237Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:29:42.674Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:29:45.116Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:29:47.570Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:29:49.136Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:29:49.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:29:51.475Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:29:53.053Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:29:53.053Z] 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.
[2025-12-20T15:29:53.053Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:29:53.053Z] Top recommended movies for user id 72:
[2025-12-20T15:29:53.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:29:53.053Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:29:53.053Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:29:53.053Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:29:53.053Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:29:53.053Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15554.834 ms) ======
[2025-12-20T15:29:53.053Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-20T15:29:53.809Z] GC before operation: completed in 109.605 ms, heap usage 510.710 MB -> 90.257 MB.
[2025-12-20T15:29:55.482Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:29:57.933Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:30:01.425Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:30:04.933Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:30:07.395Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:30:08.962Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:30:11.422Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:30:13.002Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:30:13.762Z] 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.
[2025-12-20T15:30:13.762Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:30:13.762Z] Top recommended movies for user id 72:
[2025-12-20T15:30:13.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:30:13.762Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:30:13.762Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:30:13.762Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:30:13.762Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:30:13.762Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20520.033 ms) ======
[2025-12-20T15:30:13.762Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-20T15:30:14.517Z] GC before operation: completed in 274.183 ms, heap usage 361.895 MB -> 90.226 MB.
[2025-12-20T15:30:17.906Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:30:21.280Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:30:25.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:30:28.667Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:30:31.113Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:30:33.550Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:30:35.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:30:37.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:30:37.559Z] 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.
[2025-12-20T15:30:37.559Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:30:38.324Z] Top recommended movies for user id 72:
[2025-12-20T15:30:38.324Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:30:38.324Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:30:38.324Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:30:38.324Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:30:38.324Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:30:38.324Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23705.573 ms) ======
[2025-12-20T15:30:38.324Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-20T15:30:38.324Z] GC before operation: completed in 219.903 ms, heap usage 362.146 MB -> 90.048 MB.
[2025-12-20T15:30:41.736Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:30:45.130Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:30:49.536Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:30:52.921Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:30:55.486Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:30:57.934Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:30:59.558Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:31:02.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:31:02.238Z] 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.
[2025-12-20T15:31:02.238Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:31:02.238Z] Top recommended movies for user id 72:
[2025-12-20T15:31:02.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:31:02.238Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:31:02.238Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:31:02.238Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:31:02.238Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:31:02.238Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (24287.549 ms) ======
[2025-12-20T15:31:02.238Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-20T15:31:03.011Z] GC before operation: completed in 200.801 ms, heap usage 403.782 MB -> 90.156 MB.
[2025-12-20T15:31:06.397Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T15:31:09.802Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T15:31:13.187Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T15:31:17.582Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T15:31:19.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T15:31:19.911Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T15:31:21.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T15:31:23.056Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T15:31:23.810Z] 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.
[2025-12-20T15:31:23.810Z] The best model improves the baseline by 14.52%.
[2025-12-20T15:31:23.810Z] Top recommended movies for user id 72:
[2025-12-20T15:31:23.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T15:31:23.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T15:31:23.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T15:31:23.810Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T15:31:23.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T15:31:23.810Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20999.869 ms) ======
[2025-12-20T15:31:24.563Z] -----------------------------------
[2025-12-20T15:31:24.563Z] renaissance-movie-lens_0_PASSED
[2025-12-20T15:31:24.563Z] -----------------------------------
[2025-12-20T15:31:24.563Z]
[2025-12-20T15:31:24.563Z] TEST TEARDOWN:
[2025-12-20T15:31:24.563Z] Nothing to be done for teardown.
[2025-12-20T15:31:24.563Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 15:31:23 2025 Epoch Time (ms): 1766244683767