renaissance-movie-lens_0
[2026-01-18T03:38:36.880Z] Running test renaissance-movie-lens_0 ...
[2026-01-18T03:38:36.880Z] ===============================================
[2026-01-18T03:38:36.880Z] renaissance-movie-lens_0 Start Time: Sat Jan 17 22:38:36 2026 Epoch Time (ms): 1768707516649
[2026-01-18T03:38:37.316Z] variation: NoOptions
[2026-01-18T03:38:37.316Z] JVM_OPTIONS:
[2026-01-18T03:38:37.316Z] { \
[2026-01-18T03:38:37.316Z] echo ""; echo "TEST SETUP:"; \
[2026-01-18T03:38:37.316Z] echo "Nothing to be done for setup."; \
[2026-01-18T03:38:37.316Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768705953430/renaissance-movie-lens_0"; \
[2026-01-18T03:38:37.316Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768705953430/renaissance-movie-lens_0"; \
[2026-01-18T03:38:37.316Z] echo ""; echo "TESTING:"; \
[2026-01-18T03:38:37.316Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768705953430/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-18T03:38:37.316Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768705953430/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-18T03:38:37.316Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-18T03:38:37.316Z] echo "Nothing to be done for teardown."; \
[2026-01-18T03:38:37.316Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768705953430/TestTargetResult";
[2026-01-18T03:38:37.746Z]
[2026-01-18T03:38:37.746Z] TEST SETUP:
[2026-01-18T03:38:37.746Z] Nothing to be done for setup.
[2026-01-18T03:38:37.746Z]
[2026-01-18T03:38:37.746Z] TESTING:
[2026-01-18T03:38:38.655Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-18T03:38:38.655Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_1768705953430/renaissance-movie-lens_0/launcher-223837-14839023722335982725/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-18T03:38:38.655Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-18T03:38:38.655Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-18T03:38:47.352Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-18T03:38:57.265Z] 22:38:55.708 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-18T03:38:58.837Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-18T03:38:59.862Z] Training: 60056, validation: 20285, test: 19854
[2026-01-18T03:38:59.862Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-18T03:38:59.862Z] GC before operation: completed in 145.524 ms, heap usage 568.221 MB -> 75.219 MB.
[2026-01-18T03:39:12.118Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:39:19.063Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:39:24.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:39:31.684Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:39:34.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:39:37.948Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:39:41.509Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:39:44.206Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:39:44.665Z] 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.
[2026-01-18T03:39:44.665Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:39:45.206Z] Top recommended movies for user id 72:
[2026-01-18T03:39:45.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:39:45.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:39:45.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:39:45.206Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:39:45.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:39:45.206Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (45378.669 ms) ======
[2026-01-18T03:39:45.206Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-18T03:39:45.633Z] GC before operation: completed in 708.487 ms, heap usage 231.693 MB -> 87.499 MB.
[2026-01-18T03:39:52.363Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:39:57.781Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:40:02.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:40:07.260Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:40:09.969Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:40:13.406Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:40:16.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:40:19.696Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:40:20.633Z] 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.
[2026-01-18T03:40:20.633Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:40:20.633Z] Top recommended movies for user id 72:
[2026-01-18T03:40:20.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:40:20.633Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:40:20.633Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:40:20.633Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:40:20.633Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:40:20.633Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (34908.831 ms) ======
[2026-01-18T03:40:20.633Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-18T03:40:21.011Z] GC before operation: completed in 146.981 ms, heap usage 272.806 MB -> 87.969 MB.
[2026-01-18T03:40:27.640Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:40:33.180Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:40:38.955Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:40:44.492Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:40:48.159Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:40:50.761Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:40:55.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:40:57.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:40:58.148Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T03:40:58.148Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:40:58.148Z] Top recommended movies for user id 72:
[2026-01-18T03:40:58.148Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:40:58.148Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:40:58.148Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:40:58.148Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:40:58.148Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:40:58.148Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (37335.314 ms) ======
[2026-01-18T03:40:58.148Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-18T03:40:58.148Z] GC before operation: completed in 137.917 ms, heap usage 157.682 MB -> 88.491 MB.
[2026-01-18T03:41:03.550Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:41:07.958Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:41:14.582Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:41:19.009Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:41:22.426Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:41:25.852Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:41:27.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:41:30.774Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:41:30.774Z] 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.
[2026-01-18T03:41:30.774Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:41:31.176Z] Top recommended movies for user id 72:
[2026-01-18T03:41:31.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:41:31.176Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:41:31.176Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:41:31.176Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:41:31.176Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:41:31.176Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (32872.119 ms) ======
[2026-01-18T03:41:31.176Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-18T03:41:31.176Z] GC before operation: completed in 149.812 ms, heap usage 1.045 GB -> 93.978 MB.
[2026-01-18T03:41:36.791Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:41:43.695Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:41:48.129Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:41:53.651Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:41:56.444Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:41:59.974Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:42:02.829Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:42:06.693Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:42:07.087Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T03:42:07.087Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:42:07.493Z] Top recommended movies for user id 72:
[2026-01-18T03:42:07.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:42:07.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:42:07.493Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:42:07.493Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:42:07.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:42:07.493Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (35963.692 ms) ======
[2026-01-18T03:42:07.493Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-18T03:42:07.493Z] GC before operation: completed in 132.346 ms, heap usage 276.301 MB -> 88.858 MB.
[2026-01-18T03:42:14.425Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:42:20.097Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:42:25.694Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:42:30.170Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:42:33.709Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:42:36.470Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:42:40.026Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:42:43.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:42:43.432Z] 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.
[2026-01-18T03:42:43.432Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:42:43.432Z] Top recommended movies for user id 72:
[2026-01-18T03:42:43.432Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:42:43.432Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:42:43.432Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:42:43.432Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:42:43.432Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:42:43.432Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (36147.971 ms) ======
[2026-01-18T03:42:43.432Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-18T03:42:43.848Z] GC before operation: completed in 118.408 ms, heap usage 196.062 MB -> 89.248 MB.
[2026-01-18T03:42:49.368Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:42:53.854Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:42:58.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:43:01.766Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:43:03.792Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:43:06.478Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:43:09.137Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:43:12.571Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:43:13.042Z] 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.
[2026-01-18T03:43:13.042Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:43:13.503Z] Top recommended movies for user id 72:
[2026-01-18T03:43:13.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:43:13.503Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:43:13.503Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:43:13.503Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:43:13.503Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:43:13.503Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (29934.693 ms) ======
[2026-01-18T03:43:13.503Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-18T03:43:13.969Z] GC before operation: completed in 127.933 ms, heap usage 930.888 MB -> 93.868 MB.
[2026-01-18T03:43:19.466Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:43:26.169Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:43:30.436Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:43:34.828Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:43:36.775Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:43:41.191Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:43:43.975Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:43:47.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:43:47.565Z] 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.
[2026-01-18T03:43:47.565Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:43:47.952Z] Top recommended movies for user id 72:
[2026-01-18T03:43:47.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:43:47.952Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:43:47.952Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:43:47.952Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:43:47.952Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:43:47.952Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (34047.280 ms) ======
[2026-01-18T03:43:47.952Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-18T03:43:47.952Z] GC before operation: completed in 136.744 ms, heap usage 293.854 MB -> 89.526 MB.
[2026-01-18T03:43:53.342Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:43:59.000Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:44:03.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:44:10.428Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:44:13.283Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:44:16.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:44:19.555Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:44:22.289Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:44:22.289Z] 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.
[2026-01-18T03:44:22.289Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:44:22.289Z] Top recommended movies for user id 72:
[2026-01-18T03:44:22.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:44:22.289Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:44:22.289Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:44:22.289Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:44:22.289Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:44:22.289Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (34400.975 ms) ======
[2026-01-18T03:44:22.289Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-18T03:44:22.684Z] GC before operation: completed in 121.947 ms, heap usage 121.254 MB -> 88.996 MB.
[2026-01-18T03:44:27.197Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:44:33.821Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:44:37.298Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:44:41.564Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:44:44.264Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:44:46.368Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:44:48.971Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:44:50.922Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:44:50.922Z] 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.
[2026-01-18T03:44:50.922Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:44:50.922Z] Top recommended movies for user id 72:
[2026-01-18T03:44:50.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:44:50.922Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:44:50.922Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:44:50.922Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:44:50.922Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:44:50.922Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (28488.939 ms) ======
[2026-01-18T03:44:50.922Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-18T03:44:51.353Z] GC before operation: completed in 169.095 ms, heap usage 1.487 GB -> 95.510 MB.
[2026-01-18T03:44:56.914Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:45:03.550Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:45:08.145Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:45:14.711Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:45:16.773Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:45:20.291Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:45:23.748Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:45:28.085Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:45:28.491Z] 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.
[2026-01-18T03:45:28.491Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:45:28.931Z] Top recommended movies for user id 72:
[2026-01-18T03:45:28.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:45:28.931Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:45:28.931Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:45:28.931Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:45:28.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:45:28.931Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (37616.792 ms) ======
[2026-01-18T03:45:28.931Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-18T03:45:28.931Z] GC before operation: completed in 129.691 ms, heap usage 126.952 MB -> 95.001 MB.
[2026-01-18T03:45:35.655Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:45:41.106Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:45:47.845Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:45:52.367Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:45:56.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:45:59.516Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:46:02.255Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:46:06.747Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:46:06.747Z] 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.
[2026-01-18T03:46:06.747Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:46:07.149Z] Top recommended movies for user id 72:
[2026-01-18T03:46:07.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:46:07.149Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:46:07.149Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:46:07.149Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:46:07.149Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:46:07.149Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (38091.164 ms) ======
[2026-01-18T03:46:07.149Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-18T03:46:07.149Z] GC before operation: completed in 144.223 ms, heap usage 290.301 MB -> 89.625 MB.
[2026-01-18T03:46:12.749Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:46:18.380Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:46:24.044Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:46:29.429Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:46:32.145Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:46:36.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:46:39.360Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:46:42.880Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:46:43.303Z] 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.
[2026-01-18T03:46:43.303Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:46:43.754Z] Top recommended movies for user id 72:
[2026-01-18T03:46:43.754Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:46:43.754Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:46:43.754Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:46:43.754Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:46:43.754Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:46:43.754Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (36514.779 ms) ======
[2026-01-18T03:46:43.754Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-18T03:46:43.754Z] GC before operation: completed in 134.632 ms, heap usage 136.441 MB -> 89.323 MB.
[2026-01-18T03:46:50.686Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:46:56.398Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:47:00.815Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:47:06.296Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:47:10.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:47:13.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:47:17.099Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:47:20.745Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:47:20.745Z] 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.
[2026-01-18T03:47:20.745Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:47:20.745Z] Top recommended movies for user id 72:
[2026-01-18T03:47:20.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:47:20.745Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:47:20.745Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:47:20.745Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:47:20.745Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:47:20.745Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (37092.996 ms) ======
[2026-01-18T03:47:20.745Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-18T03:47:21.297Z] GC before operation: completed in 103.809 ms, heap usage 271.196 MB -> 89.345 MB.
[2026-01-18T03:47:26.682Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:47:33.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:47:38.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:47:42.845Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:47:45.491Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:47:48.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:47:51.618Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:47:53.545Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:47:55.004Z] 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.
[2026-01-18T03:47:55.004Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:47:55.004Z] Top recommended movies for user id 72:
[2026-01-18T03:47:55.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:47:55.004Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:47:55.004Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:47:55.004Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:47:55.004Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:47:55.004Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (34095.426 ms) ======
[2026-01-18T03:47:55.004Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-18T03:47:55.416Z] GC before operation: completed in 113.551 ms, heap usage 277.025 MB -> 89.591 MB.
[2026-01-18T03:48:00.886Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:48:05.260Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:48:08.691Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:48:12.982Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:48:14.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:48:17.047Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:48:19.695Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:48:22.448Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:48:22.448Z] 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.
[2026-01-18T03:48:22.448Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:48:23.327Z] Top recommended movies for user id 72:
[2026-01-18T03:48:23.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:48:23.327Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:48:23.327Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:48:23.327Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:48:23.327Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:48:23.327Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (27845.249 ms) ======
[2026-01-18T03:48:23.327Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-18T03:48:23.327Z] GC before operation: completed in 166.861 ms, heap usage 1.602 GB -> 95.769 MB.
[2026-01-18T03:48:28.753Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:48:35.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:48:40.010Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:48:45.669Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:48:47.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:48:50.404Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:48:53.122Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:48:55.976Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:48:55.976Z] 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.
[2026-01-18T03:48:56.398Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:48:56.398Z] Top recommended movies for user id 72:
[2026-01-18T03:48:56.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:48:56.398Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:48:56.398Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:48:56.398Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:48:56.398Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:48:56.398Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (33085.505 ms) ======
[2026-01-18T03:48:56.398Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-18T03:48:56.398Z] GC before operation: completed in 158.569 ms, heap usage 366.453 MB -> 89.674 MB.
[2026-01-18T03:49:01.823Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:49:07.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:49:13.324Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:49:17.977Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:49:20.790Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:49:24.420Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:49:27.144Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:49:29.981Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:49:30.971Z] 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.
[2026-01-18T03:49:30.971Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:49:30.971Z] Top recommended movies for user id 72:
[2026-01-18T03:49:30.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:49:30.971Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:49:30.971Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:49:30.971Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:49:30.971Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:49:30.971Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (34572.753 ms) ======
[2026-01-18T03:49:30.971Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-18T03:49:31.370Z] GC before operation: completed in 134.180 ms, heap usage 507.669 MB -> 89.744 MB.
[2026-01-18T03:49:37.034Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:49:42.650Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:49:48.213Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:49:52.593Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:49:55.252Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:49:57.896Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:50:00.601Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:50:04.085Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:50:04.085Z] 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.
[2026-01-18T03:50:04.085Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:50:04.460Z] Top recommended movies for user id 72:
[2026-01-18T03:50:04.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:50:04.460Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:50:04.460Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:50:04.460Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:50:04.460Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:50:04.460Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (33241.379 ms) ======
[2026-01-18T03:50:04.460Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-18T03:50:04.460Z] GC before operation: completed in 103.739 ms, heap usage 242.266 MB -> 89.479 MB.
[2026-01-18T03:50:11.031Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T03:50:14.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T03:50:19.031Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T03:50:23.452Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T03:50:25.555Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T03:50:28.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T03:50:31.193Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T03:50:34.844Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T03:50:34.844Z] 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.
[2026-01-18T03:50:34.844Z] The best model improves the baseline by 14.52%.
[2026-01-18T03:50:34.844Z] Top recommended movies for user id 72:
[2026-01-18T03:50:34.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T03:50:34.844Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T03:50:34.844Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T03:50:34.844Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T03:50:34.844Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T03:50:34.844Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (30419.145 ms) ======
[2026-01-18T03:50:36.173Z] -----------------------------------
[2026-01-18T03:50:36.173Z] renaissance-movie-lens_0_PASSED
[2026-01-18T03:50:36.173Z] -----------------------------------
[2026-01-18T03:50:36.173Z]
[2026-01-18T03:50:36.173Z] TEST TEARDOWN:
[2026-01-18T03:50:36.173Z] Nothing to be done for teardown.
[2026-01-18T03:50:36.173Z] renaissance-movie-lens_0 Finish Time: Sat Jan 17 22:50:35 2026 Epoch Time (ms): 1768708236024