renaissance-movie-lens_0
[2026-01-21T10:38:15.521Z] Running test renaissance-movie-lens_0 ...
[2026-01-21T10:38:15.521Z] ===============================================
[2026-01-21T10:38:15.521Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 05:38:15 2026 Epoch Time (ms): 1768991895339
[2026-01-21T10:38:15.521Z] variation: NoOptions
[2026-01-21T10:38:15.521Z] JVM_OPTIONS:
[2026-01-21T10:38:15.521Z] { \
[2026-01-21T10:38:15.521Z] echo ""; echo "TEST SETUP:"; \
[2026-01-21T10:38:15.521Z] echo "Nothing to be done for setup."; \
[2026-01-21T10:38:15.521Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17689914388570/renaissance-movie-lens_0"; \
[2026-01-21T10:38:15.521Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17689914388570/renaissance-movie-lens_0"; \
[2026-01-21T10:38:15.521Z] echo ""; echo "TESTING:"; \
[2026-01-21T10:38:15.521Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17689914388570/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-21T10:38:15.521Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17689914388570/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-21T10:38:15.521Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-21T10:38:15.521Z] echo "Nothing to be done for teardown."; \
[2026-01-21T10:38:15.521Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17689914388570/TestTargetResult";
[2026-01-21T10:38:15.521Z]
[2026-01-21T10:38:15.521Z] TEST SETUP:
[2026-01-21T10:38:15.521Z] Nothing to be done for setup.
[2026-01-21T10:38:15.521Z]
[2026-01-21T10:38:15.521Z] TESTING:
[2026-01-21T10:38:15.884Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-21T10:38:15.884Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17689914388570/renaissance-movie-lens_0/launcher-053815-5335283822700932909/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-21T10:38:15.884Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-21T10:38:15.884Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-21T10:38:18.318Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-21T10:38:20.879Z] 05:38:20.528 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-21T10:38:21.734Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-21T10:38:21.734Z] Training: 60056, validation: 20285, test: 19854
[2026-01-21T10:38:21.734Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-21T10:38:21.734Z] GC before operation: completed in 44.874 ms, heap usage 226.610 MB -> 75.946 MB.
[2026-01-21T10:38:24.207Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:38:25.554Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:38:26.832Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:38:28.104Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:38:28.886Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:38:29.690Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:38:30.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:38:31.275Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:38:31.647Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:38:31.647Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:38:31.647Z] Top recommended movies for user id 72:
[2026-01-21T10:38:31.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:38:31.647Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:38:31.647Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:38:31.647Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:38:31.647Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:38:31.647Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (9872.995 ms) ======
[2026-01-21T10:38:31.647Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-21T10:38:31.647Z] GC before operation: completed in 53.115 ms, heap usage 430.569 MB -> 91.869 MB.
[2026-01-21T10:38:32.905Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:38:34.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:38:35.979Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:38:37.251Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:38:37.621Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:38:38.411Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:38:39.199Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:38:39.992Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:38:39.992Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:38:39.992Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:38:39.992Z] Top recommended movies for user id 72:
[2026-01-21T10:38:39.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:38:39.992Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:38:39.992Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:38:39.992Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:38:39.992Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:38:39.992Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8495.695 ms) ======
[2026-01-21T10:38:39.992Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-21T10:38:40.358Z] GC before operation: completed in 52.532 ms, heap usage 361.699 MB -> 88.887 MB.
[2026-01-21T10:38:41.621Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:38:42.890Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:38:44.706Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:38:45.964Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:38:46.740Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:38:47.529Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:38:48.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:38:49.116Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:38:49.116Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:38:49.116Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:38:49.116Z] Top recommended movies for user id 72:
[2026-01-21T10:38:49.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:38:49.116Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:38:49.116Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:38:49.116Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:38:49.116Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:38:49.116Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9030.407 ms) ======
[2026-01-21T10:38:49.116Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-21T10:38:49.116Z] GC before operation: completed in 48.525 ms, heap usage 114.984 MB -> 91.309 MB.
[2026-01-21T10:38:50.391Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:38:51.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:38:52.952Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:38:54.222Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:38:55.003Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:38:55.782Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:38:56.571Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:38:57.349Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:38:57.349Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:38:57.349Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:38:57.716Z] Top recommended movies for user id 72:
[2026-01-21T10:38:57.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:38:57.716Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:38:57.716Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:38:57.716Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:38:57.716Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:38:57.717Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (8274.524 ms) ======
[2026-01-21T10:38:57.717Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-21T10:38:57.717Z] GC before operation: completed in 51.217 ms, heap usage 357.067 MB -> 89.899 MB.
[2026-01-21T10:38:58.963Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:39:00.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:39:01.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:39:02.790Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:39:03.591Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:39:03.999Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:39:04.804Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:39:05.586Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:39:05.951Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:39:05.951Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:39:05.951Z] Top recommended movies for user id 72:
[2026-01-21T10:39:05.951Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:39:05.951Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:39:05.951Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:39:05.951Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:39:05.951Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:39:05.951Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8257.500 ms) ======
[2026-01-21T10:39:05.951Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-21T10:39:05.951Z] GC before operation: completed in 44.576 ms, heap usage 469.492 MB -> 90.062 MB.
[2026-01-21T10:39:07.271Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:39:08.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:39:09.302Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:39:10.556Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:39:10.917Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:39:11.705Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:39:12.476Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:39:12.837Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:39:13.198Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:39:13.198Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:39:13.198Z] Top recommended movies for user id 72:
[2026-01-21T10:39:13.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:39:13.198Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:39:13.198Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:39:13.198Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:39:13.198Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:39:13.198Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7196.095 ms) ======
[2026-01-21T10:39:13.198Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-21T10:39:13.198Z] GC before operation: completed in 44.320 ms, heap usage 164.979 MB -> 90.913 MB.
[2026-01-21T10:39:14.465Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:39:15.744Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:39:16.530Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:39:17.789Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:39:18.563Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:39:19.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:39:19.711Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:39:20.490Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:39:20.490Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:39:20.490Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:39:20.862Z] Top recommended movies for user id 72:
[2026-01-21T10:39:20.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:39:20.862Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:39:20.862Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:39:20.862Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:39:20.862Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:39:20.862Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7541.167 ms) ======
[2026-01-21T10:39:20.862Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-21T10:39:20.862Z] GC before operation: completed in 46.767 ms, heap usage 290.334 MB -> 89.981 MB.
[2026-01-21T10:39:22.126Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:39:23.382Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:39:24.641Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:39:26.450Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:39:27.238Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:39:28.028Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:39:28.814Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:39:29.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:39:29.597Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:39:29.597Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:39:29.597Z] Top recommended movies for user id 72:
[2026-01-21T10:39:29.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:39:29.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:39:29.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:39:29.597Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:39:29.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:39:29.597Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9001.927 ms) ======
[2026-01-21T10:39:29.597Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-21T10:39:29.963Z] GC before operation: completed in 46.611 ms, heap usage 493.764 MB -> 90.538 MB.
[2026-01-21T10:39:31.216Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:39:32.002Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:39:33.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:39:34.515Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:39:35.300Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:39:36.134Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:39:36.916Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:39:37.700Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:39:37.700Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:39:37.700Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:39:37.700Z] Top recommended movies for user id 72:
[2026-01-21T10:39:37.700Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:39:37.700Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:39:37.700Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:39:37.700Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:39:37.700Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:39:37.700Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (7946.666 ms) ======
[2026-01-21T10:39:37.700Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-21T10:39:37.700Z] GC before operation: completed in 52.233 ms, heap usage 164.824 MB -> 90.054 MB.
[2026-01-21T10:39:39.514Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:39:40.785Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:39:42.055Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:39:42.836Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:39:43.672Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:39:44.037Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:39:44.659Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:39:45.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:39:45.423Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:39:45.423Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:39:45.423Z] Top recommended movies for user id 72:
[2026-01-21T10:39:45.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:39:45.423Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:39:45.423Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:39:45.423Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:39:45.423Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:39:45.423Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7548.513 ms) ======
[2026-01-21T10:39:45.423Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-21T10:39:45.423Z] GC before operation: completed in 39.268 ms, heap usage 484.411 MB -> 90.613 MB.
[2026-01-21T10:39:46.210Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:39:47.536Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:39:48.314Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:39:49.583Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:39:49.948Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:39:50.731Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:39:51.517Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:39:51.891Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:39:51.891Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:39:51.891Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:39:52.261Z] Top recommended movies for user id 72:
[2026-01-21T10:39:52.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:39:52.261Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:39:52.261Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:39:52.261Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:39:52.261Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:39:52.261Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6699.742 ms) ======
[2026-01-21T10:39:52.261Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-21T10:39:52.261Z] GC before operation: completed in 40.497 ms, heap usage 393.686 MB -> 90.102 MB.
[2026-01-21T10:39:53.047Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:39:54.302Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:39:55.091Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:39:56.353Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:39:56.716Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:39:57.502Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:39:57.872Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:39:58.658Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:39:58.658Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:39:58.658Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:39:58.658Z] Top recommended movies for user id 72:
[2026-01-21T10:39:58.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:39:58.658Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:39:58.658Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:39:58.658Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:39:58.658Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:39:58.658Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6623.253 ms) ======
[2026-01-21T10:39:58.658Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-21T10:39:58.658Z] GC before operation: completed in 45.120 ms, heap usage 286.900 MB -> 90.319 MB.
[2026-01-21T10:39:59.911Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:40:00.754Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:40:01.535Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:40:02.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:40:03.175Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:40:03.544Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:40:04.331Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:40:04.708Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:40:04.708Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:40:04.708Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:40:05.081Z] Top recommended movies for user id 72:
[2026-01-21T10:40:05.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:40:05.081Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:40:05.081Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:40:05.081Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:40:05.081Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:40:05.082Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6345.214 ms) ======
[2026-01-21T10:40:05.082Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-21T10:40:05.082Z] GC before operation: completed in 41.232 ms, heap usage 208.192 MB -> 90.221 MB.
[2026-01-21T10:40:06.345Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:40:07.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:40:07.968Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:40:08.771Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:40:09.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:40:10.334Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:40:10.699Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:40:11.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:40:11.470Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:40:11.470Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:40:11.470Z] Top recommended movies for user id 72:
[2026-01-21T10:40:11.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:40:11.470Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:40:11.470Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:40:11.470Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:40:11.470Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:40:11.470Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6226.788 ms) ======
[2026-01-21T10:40:11.470Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-21T10:40:11.470Z] GC before operation: completed in 40.251 ms, heap usage 333.968 MB -> 90.167 MB.
[2026-01-21T10:40:12.257Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:40:13.560Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:40:14.338Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:40:15.113Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:40:15.491Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:40:16.274Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:40:16.646Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:40:17.428Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:40:17.428Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:40:17.428Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:40:17.428Z] Top recommended movies for user id 72:
[2026-01-21T10:40:17.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:40:17.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:40:17.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:40:17.428Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:40:17.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:40:17.428Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (6062.934 ms) ======
[2026-01-21T10:40:17.428Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-21T10:40:17.428Z] GC before operation: completed in 41.355 ms, heap usage 409.419 MB -> 90.610 MB.
[2026-01-21T10:40:18.697Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:40:19.484Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:40:20.748Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:40:21.524Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:40:21.887Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:40:22.669Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:40:23.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:40:23.817Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:40:23.817Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:40:23.817Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:40:23.817Z] Top recommended movies for user id 72:
[2026-01-21T10:40:23.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:40:23.817Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:40:23.817Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:40:23.817Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:40:23.817Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:40:23.817Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (6453.486 ms) ======
[2026-01-21T10:40:23.817Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-21T10:40:24.180Z] GC before operation: completed in 40.797 ms, heap usage 164.404 MB -> 90.565 MB.
[2026-01-21T10:40:24.960Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:40:26.216Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:40:27.473Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:40:28.263Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:40:28.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:40:29.429Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:40:29.791Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:40:30.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:40:30.577Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:40:30.577Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:40:30.577Z] Top recommended movies for user id 72:
[2026-01-21T10:40:30.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:40:30.577Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:40:30.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:40:30.577Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:40:30.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:40:30.577Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6485.482 ms) ======
[2026-01-21T10:40:30.577Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-21T10:40:30.577Z] GC before operation: completed in 39.528 ms, heap usage 336.966 MB -> 90.327 MB.
[2026-01-21T10:40:31.362Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:40:32.638Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:40:33.429Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:40:34.216Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:40:35.033Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:40:35.396Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:40:36.183Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:40:36.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:40:36.633Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:40:36.633Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:40:36.633Z] Top recommended movies for user id 72:
[2026-01-21T10:40:36.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:40:36.633Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:40:36.633Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:40:36.633Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:40:36.633Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:40:36.633Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6205.364 ms) ======
[2026-01-21T10:40:36.633Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-21T10:40:36.633Z] GC before operation: completed in 39.735 ms, heap usage 112.246 MB -> 89.994 MB.
[2026-01-21T10:40:37.902Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:40:38.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:40:39.489Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:40:40.785Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:40:41.146Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:40:41.511Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:40:42.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:40:42.656Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:40:43.019Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:40:43.019Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:40:43.019Z] Top recommended movies for user id 72:
[2026-01-21T10:40:43.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:40:43.020Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:40:43.020Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:40:43.020Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:40:43.020Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:40:43.020Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6180.748 ms) ======
[2026-01-21T10:40:43.020Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-21T10:40:43.020Z] GC before operation: completed in 40.168 ms, heap usage 372.636 MB -> 90.390 MB.
[2026-01-21T10:40:43.803Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T10:40:45.064Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T10:40:45.851Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T10:40:46.634Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T10:40:47.407Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T10:40:47.776Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T10:40:48.558Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T10:40:48.920Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T10:40:48.920Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T10:40:48.920Z] The best model improves the baseline by 14.52%.
[2026-01-21T10:40:49.280Z] Top recommended movies for user id 72:
[2026-01-21T10:40:49.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T10:40:49.280Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T10:40:49.280Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T10:40:49.280Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T10:40:49.280Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T10:40:49.280Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6089.994 ms) ======
[2026-01-21T10:40:49.280Z] -----------------------------------
[2026-01-21T10:40:49.280Z] renaissance-movie-lens_0_PASSED
[2026-01-21T10:40:49.280Z] -----------------------------------
[2026-01-21T10:40:49.641Z]
[2026-01-21T10:40:49.641Z] TEST TEARDOWN:
[2026-01-21T10:40:49.641Z] Nothing to be done for teardown.
[2026-01-21T10:40:49.641Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 05:40:49 2026 Epoch Time (ms): 1768992049221