renaissance-movie-lens_0
[2026-03-05T22:19:45.758Z] Running test renaissance-movie-lens_0 ...
[2026-03-05T22:19:45.758Z] ===============================================
[2026-03-05T22:19:45.758Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 17:19:45 2026 Epoch Time (ms): 1772749185238
[2026-03-05T22:19:45.758Z] variation: NoOptions
[2026-03-05T22:19:45.758Z] JVM_OPTIONS:
[2026-03-05T22:19:45.758Z] { \
[2026-03-05T22:19:45.758Z] echo ""; echo "TEST SETUP:"; \
[2026-03-05T22:19:45.758Z] echo "Nothing to be done for setup."; \
[2026-03-05T22:19:45.758Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17727487381965/renaissance-movie-lens_0"; \
[2026-03-05T22:19:45.758Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17727487381965/renaissance-movie-lens_0"; \
[2026-03-05T22:19:45.758Z] echo ""; echo "TESTING:"; \
[2026-03-05T22:19:45.758Z] "/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_17727487381965/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-03-05T22:19:45.758Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17727487381965/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-03-05T22:19:45.758Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-03-05T22:19:45.758Z] echo "Nothing to be done for teardown."; \
[2026-03-05T22:19:45.758Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17727487381965/TestTargetResult";
[2026-03-05T22:19:45.758Z]
[2026-03-05T22:19:45.758Z] TEST SETUP:
[2026-03-05T22:19:45.758Z] Nothing to be done for setup.
[2026-03-05T22:19:45.758Z]
[2026-03-05T22:19:45.758Z] TESTING:
[2026-03-05T22:19:45.758Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-03-05T22:19:45.758Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17727487381965/renaissance-movie-lens_0/launcher-171945-13310458155859950656/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-03-05T22:19:45.758Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-03-05T22:19:45.758Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-03-05T22:19:49.672Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-03-05T22:19:53.640Z] 17:19:53.341 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-03-05T22:19:54.900Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-03-05T22:19:54.900Z] Training: 60056, validation: 20285, test: 19854
[2026-03-05T22:19:54.900Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-03-05T22:19:54.900Z] GC before operation: completed in 89.159 ms, heap usage 375.209 MB -> 75.929 MB.
[2026-03-05T22:19:58.918Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:20:00.735Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:20:03.195Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:20:05.158Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:20:06.409Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:20:07.698Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:20:08.945Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:20:10.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:20:10.547Z] 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.
[2026-03-05T22:20:10.547Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:20:10.929Z] Top recommended movies for user id 72:
[2026-03-05T22:20:10.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:20:10.929Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:20:10.929Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:20:10.929Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:20:10.929Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:20:10.929Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (15731.379 ms) ======
[2026-03-05T22:20:10.929Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-03-05T22:20:10.929Z] GC before operation: completed in 81.606 ms, heap usage 290.400 MB -> 86.624 MB.
[2026-03-05T22:20:13.352Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:20:15.183Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:20:17.636Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:20:19.517Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:20:20.833Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:20:22.204Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:20:23.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:20:24.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:20:24.713Z] 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.
[2026-03-05T22:20:24.713Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:20:25.104Z] Top recommended movies for user id 72:
[2026-03-05T22:20:25.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:20:25.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:20:25.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:20:25.104Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:20:25.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:20:25.104Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14114.091 ms) ======
[2026-03-05T22:20:25.104Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-03-05T22:20:25.104Z] GC before operation: completed in 87.518 ms, heap usage 450.037 MB -> 88.988 MB.
[2026-03-05T22:20:27.533Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:20:29.359Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:20:31.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:20:32.981Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:20:33.751Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:20:34.997Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:20:36.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:20:36.994Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:20:37.344Z] 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.
[2026-03-05T22:20:37.344Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:20:37.344Z] Top recommended movies for user id 72:
[2026-03-05T22:20:37.344Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:20:37.344Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:20:37.344Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:20:37.344Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:20:37.344Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:20:37.344Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (12365.798 ms) ======
[2026-03-05T22:20:37.344Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-03-05T22:20:37.344Z] GC before operation: completed in 75.989 ms, heap usage 699.773 MB -> 93.164 MB.
[2026-03-05T22:20:39.159Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:20:40.973Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:20:43.419Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:20:44.664Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:20:45.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:20:47.234Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:20:48.023Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:20:49.254Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:20:49.254Z] 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.
[2026-03-05T22:20:49.254Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:20:49.254Z] Top recommended movies for user id 72:
[2026-03-05T22:20:49.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:20:49.254Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:20:49.254Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:20:49.254Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:20:49.254Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:20:49.254Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (11945.929 ms) ======
[2026-03-05T22:20:49.254Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-03-05T22:20:49.619Z] GC before operation: completed in 77.051 ms, heap usage 209.529 MB -> 89.675 MB.
[2026-03-05T22:20:51.365Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:20:53.206Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:20:54.970Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:20:56.722Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:20:57.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:20:59.237Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:21:00.021Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:21:02.202Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:21:02.202Z] 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.
[2026-03-05T22:21:02.202Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:21:02.202Z] Top recommended movies for user id 72:
[2026-03-05T22:21:02.202Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:21:02.202Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:21:02.202Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:21:02.202Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:21:02.202Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:21:02.202Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (12043.660 ms) ======
[2026-03-05T22:21:02.202Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-03-05T22:21:02.202Z] GC before operation: completed in 90.284 ms, heap usage 297.985 MB -> 89.667 MB.
[2026-03-05T22:21:03.506Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:21:05.246Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:21:07.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:21:08.782Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:21:09.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:21:10.766Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:21:11.987Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:21:12.762Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:21:13.154Z] 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.
[2026-03-05T22:21:13.154Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:21:13.154Z] Top recommended movies for user id 72:
[2026-03-05T22:21:13.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:21:13.154Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:21:13.154Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:21:13.154Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:21:13.154Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:21:13.154Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (11614.803 ms) ======
[2026-03-05T22:21:13.154Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-03-05T22:21:13.154Z] GC before operation: completed in 75.529 ms, heap usage 131.310 MB -> 89.756 MB.
[2026-03-05T22:21:15.510Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:21:17.314Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:21:19.134Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:21:20.901Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:21:21.671Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:21:22.449Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:21:23.656Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:21:24.931Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:21:24.931Z] 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.
[2026-03-05T22:21:24.931Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:21:24.931Z] Top recommended movies for user id 72:
[2026-03-05T22:21:24.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:21:24.931Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:21:24.931Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:21:24.931Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:21:24.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:21:24.931Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (11775.463 ms) ======
[2026-03-05T22:21:24.931Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-03-05T22:21:25.280Z] GC before operation: completed in 77.277 ms, heap usage 241.182 MB -> 89.843 MB.
[2026-03-05T22:21:27.032Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:21:28.781Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:21:30.537Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:21:32.293Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:21:33.529Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:21:34.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:21:35.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:21:36.739Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:21:37.119Z] 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.
[2026-03-05T22:21:37.119Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:21:37.119Z] Top recommended movies for user id 72:
[2026-03-05T22:21:37.119Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:21:37.119Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:21:37.119Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:21:37.119Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:21:37.119Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:21:37.119Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (11994.466 ms) ======
[2026-03-05T22:21:37.119Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-03-05T22:21:37.119Z] GC before operation: completed in 74.286 ms, heap usage 133.249 MB -> 89.941 MB.
[2026-03-05T22:21:38.878Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:21:40.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:21:42.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:21:44.452Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:21:45.688Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:21:46.907Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:21:48.148Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:21:48.915Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:21:49.276Z] 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.
[2026-03-05T22:21:49.276Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:21:49.276Z] Top recommended movies for user id 72:
[2026-03-05T22:21:49.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:21:49.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:21:49.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:21:49.276Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:21:49.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:21:49.276Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12135.916 ms) ======
[2026-03-05T22:21:49.276Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-03-05T22:21:49.276Z] GC before operation: completed in 73.006 ms, heap usage 283.143 MB -> 90.126 MB.
[2026-03-05T22:21:51.661Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:21:53.417Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:21:55.166Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:21:57.073Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:21:58.355Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:21:59.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:22:00.338Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:22:01.555Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:22:01.555Z] 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.
[2026-03-05T22:22:01.555Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:22:01.555Z] Top recommended movies for user id 72:
[2026-03-05T22:22:01.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:22:01.555Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:22:01.555Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:22:01.555Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:22:01.555Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:22:01.555Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (12210.386 ms) ======
[2026-03-05T22:22:01.555Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-03-05T22:22:01.911Z] GC before operation: completed in 70.858 ms, heap usage 307.514 MB -> 90.254 MB.
[2026-03-05T22:22:03.654Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:22:05.398Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:22:07.150Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:22:08.893Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:22:10.107Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:22:10.864Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:22:12.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:22:13.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:22:13.287Z] 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.
[2026-03-05T22:22:13.287Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:22:13.639Z] Top recommended movies for user id 72:
[2026-03-05T22:22:13.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:22:13.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:22:13.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:22:13.639Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:22:13.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:22:13.639Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11809.249 ms) ======
[2026-03-05T22:22:13.639Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-03-05T22:22:13.639Z] GC before operation: completed in 65.568 ms, heap usage 436.750 MB -> 90.201 MB.
[2026-03-05T22:22:15.373Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:22:17.758Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:22:19.556Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:22:21.338Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:22:22.128Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:22:22.906Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:22:24.151Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:22:25.410Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:22:25.410Z] 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.
[2026-03-05T22:22:25.769Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:22:25.769Z] Top recommended movies for user id 72:
[2026-03-05T22:22:25.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:22:25.769Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:22:25.769Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:22:25.769Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:22:25.769Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:22:25.769Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12111.379 ms) ======
[2026-03-05T22:22:25.769Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-03-05T22:22:25.769Z] GC before operation: completed in 65.481 ms, heap usage 123.882 MB -> 90.098 MB.
[2026-03-05T22:22:28.185Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:22:30.109Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:22:31.879Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:22:33.617Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:22:34.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:22:35.669Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:22:36.943Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:22:37.697Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:22:38.078Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-05T22:22:38.078Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:22:38.078Z] Top recommended movies for user id 72:
[2026-03-05T22:22:38.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:22:38.078Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:22:38.078Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:22:38.078Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:22:38.078Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:22:38.078Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12283.980 ms) ======
[2026-03-05T22:22:38.078Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-03-05T22:22:38.078Z] GC before operation: completed in 78.447 ms, heap usage 199.316 MB -> 90.310 MB.
[2026-03-05T22:22:39.854Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:22:41.668Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:22:44.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:22:45.281Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:22:46.502Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:22:47.715Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:22:48.922Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:22:49.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:22:50.038Z] 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.
[2026-03-05T22:22:50.038Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:22:50.038Z] Top recommended movies for user id 72:
[2026-03-05T22:22:50.038Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:22:50.038Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:22:50.038Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:22:50.038Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:22:50.038Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:22:50.038Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11953.650 ms) ======
[2026-03-05T22:22:50.038Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-03-05T22:22:50.038Z] GC before operation: completed in 73.787 ms, heap usage 236.455 MB -> 90.118 MB.
[2026-03-05T22:22:52.412Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:22:53.708Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:22:56.175Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:22:57.514Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:22:58.791Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:22:59.607Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:23:00.865Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:23:02.216Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:23:02.216Z] 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.
[2026-03-05T22:23:02.216Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:23:02.216Z] Top recommended movies for user id 72:
[2026-03-05T22:23:02.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:23:02.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:23:02.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:23:02.216Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:23:02.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:23:02.216Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12193.540 ms) ======
[2026-03-05T22:23:02.216Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-03-05T22:23:02.584Z] GC before operation: completed in 67.008 ms, heap usage 177.461 MB -> 90.273 MB.
[2026-03-05T22:23:04.404Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:23:06.191Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:23:08.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:23:10.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:23:11.381Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:23:12.166Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:23:13.416Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:23:14.208Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:23:14.580Z] 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.
[2026-03-05T22:23:14.580Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:23:14.580Z] Top recommended movies for user id 72:
[2026-03-05T22:23:14.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:23:14.580Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:23:14.580Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:23:14.580Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:23:14.580Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:23:14.580Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12194.952 ms) ======
[2026-03-05T22:23:14.580Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-03-05T22:23:14.580Z] GC before operation: completed in 73.706 ms, heap usage 105.052 MB -> 90.184 MB.
[2026-03-05T22:23:17.003Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:23:18.794Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:23:20.567Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:23:22.362Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:23:23.619Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:23:24.884Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:23:25.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:23:27.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:23:27.012Z] 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.
[2026-03-05T22:23:27.377Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:23:27.377Z] Top recommended movies for user id 72:
[2026-03-05T22:23:27.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:23:27.377Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:23:27.377Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:23:27.377Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:23:27.377Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:23:27.377Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12611.986 ms) ======
[2026-03-05T22:23:27.377Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-03-05T22:23:27.377Z] GC before operation: completed in 91.908 ms, heap usage 181.651 MB -> 90.298 MB.
[2026-03-05T22:23:29.160Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:23:31.044Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:23:32.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:23:34.628Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:23:35.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:23:36.625Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:23:37.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:23:39.137Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:23:39.137Z] 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.
[2026-03-05T22:23:39.137Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:23:39.137Z] Top recommended movies for user id 72:
[2026-03-05T22:23:39.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:23:39.137Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:23:39.137Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:23:39.137Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:23:39.137Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:23:39.137Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11847.841 ms) ======
[2026-03-05T22:23:39.137Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-03-05T22:23:39.484Z] GC before operation: completed in 68.990 ms, heap usage 426.408 MB -> 90.382 MB.
[2026-03-05T22:23:41.236Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:23:43.681Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:23:45.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:23:47.253Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:23:48.029Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:23:49.307Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:23:50.517Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:23:51.776Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:23:51.776Z] 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.
[2026-03-05T22:23:51.776Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:23:51.776Z] Top recommended movies for user id 72:
[2026-03-05T22:23:51.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:23:51.776Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:23:51.776Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:23:51.776Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:23:51.776Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:23:51.776Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12550.034 ms) ======
[2026-03-05T22:23:51.776Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-03-05T22:23:52.125Z] GC before operation: completed in 78.129 ms, heap usage 342.367 MB -> 90.394 MB.
[2026-03-05T22:23:53.966Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-05T22:23:55.758Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-05T22:23:57.578Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-05T22:23:59.384Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-05T22:24:00.146Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-05T22:24:01.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-05T22:24:02.635Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-05T22:24:03.912Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-05T22:24:03.912Z] 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.
[2026-03-05T22:24:04.298Z] The best model improves the baseline by 14.52%.
[2026-03-05T22:24:04.298Z] Top recommended movies for user id 72:
[2026-03-05T22:24:04.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-05T22:24:04.298Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-05T22:24:04.298Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-05T22:24:04.298Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-05T22:24:04.298Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-05T22:24:04.298Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12215.570 ms) ======
[2026-03-05T22:24:04.661Z] -----------------------------------
[2026-03-05T22:24:04.662Z] renaissance-movie-lens_0_PASSED
[2026-03-05T22:24:04.662Z] -----------------------------------
[2026-03-05T22:24:04.662Z]
[2026-03-05T22:24:04.662Z] TEST TEARDOWN:
[2026-03-05T22:24:04.662Z] Nothing to be done for teardown.
[2026-03-05T22:24:05.016Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 17:24:04 2026 Epoch Time (ms): 1772749444629