renaissance-movie-lens_0
[2026-02-06T13:09:00.977Z] Running test renaissance-movie-lens_0 ...
[2026-02-06T13:09:00.977Z] ===============================================
[2026-02-06T13:09:01.505Z] renaissance-movie-lens_0 Start Time: Fri Feb 6 08:09:00 2026 Epoch Time (ms): 1770383340744
[2026-02-06T13:09:01.505Z] variation: NoOptions
[2026-02-06T13:09:01.505Z] JVM_OPTIONS:
[2026-02-06T13:09:01.505Z] { \
[2026-02-06T13:09:01.505Z] echo ""; echo "TEST SETUP:"; \
[2026-02-06T13:09:01.505Z] echo "Nothing to be done for setup."; \
[2026-02-06T13:09:01.505Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17703805954326/renaissance-movie-lens_0"; \
[2026-02-06T13:09:01.505Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17703805954326/renaissance-movie-lens_0"; \
[2026-02-06T13:09:01.505Z] echo ""; echo "TESTING:"; \
[2026-02-06T13:09:01.505Z] "/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_17703805954326/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-06T13:09:01.505Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17703805954326/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-06T13:09:01.505Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-06T13:09:01.505Z] echo "Nothing to be done for teardown."; \
[2026-02-06T13:09:01.505Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17703805954326/TestTargetResult";
[2026-02-06T13:09:01.505Z]
[2026-02-06T13:09:01.505Z] TEST SETUP:
[2026-02-06T13:09:01.505Z] Nothing to be done for setup.
[2026-02-06T13:09:01.505Z]
[2026-02-06T13:09:01.505Z] TESTING:
[2026-02-06T13:09:03.982Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-06T13:09:03.982Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17703805954326/renaissance-movie-lens_0/launcher-080901-14673516771670432750/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-06T13:09:03.982Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-06T13:09:03.982Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-06T13:09:22.458Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-06T13:09:48.542Z] 08:09:45.406 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-06T13:09:52.614Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-06T13:09:54.265Z] Training: 60056, validation: 20285, test: 19854
[2026-02-06T13:09:54.265Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-06T13:09:54.809Z] GC before operation: completed in 368.692 ms, heap usage 297.181 MB -> 74.996 MB.
[2026-02-06T13:10:21.534Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:10:35.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:10:48.511Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:11:01.668Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:11:07.937Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:11:18.184Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:11:24.730Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:11:32.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:11:32.809Z] 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.
[2026-02-06T13:11:33.357Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:11:33.924Z] Top recommended movies for user id 72:
[2026-02-06T13:11:33.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:11:33.924Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:11:33.924Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:11:33.924Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:11:33.924Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:11:33.924Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (99538.804 ms) ======
[2026-02-06T13:11:33.924Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-06T13:11:34.387Z] GC before operation: completed in 317.716 ms, heap usage 356.610 MB -> 87.053 MB.
[2026-02-06T13:11:49.742Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:12:05.246Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:12:21.164Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:12:36.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:12:45.520Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:12:51.724Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:12:57.927Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:13:03.979Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:13:04.941Z] 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.
[2026-02-06T13:13:04.941Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:13:05.436Z] Top recommended movies for user id 72:
[2026-02-06T13:13:05.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:13:05.436Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:13:05.436Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:13:05.436Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:13:05.436Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:13:05.436Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (90855.348 ms) ======
[2026-02-06T13:13:05.436Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-06T13:13:06.017Z] GC before operation: completed in 725.374 ms, heap usage 869.235 MB -> 92.010 MB.
[2026-02-06T13:13:21.327Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:13:34.622Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:13:48.539Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:14:00.338Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:14:06.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:14:14.302Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:14:21.048Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:14:27.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:14:28.415Z] 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.
[2026-02-06T13:14:28.415Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:14:28.415Z] Top recommended movies for user id 72:
[2026-02-06T13:14:28.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:14:28.415Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:14:28.415Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:14:28.415Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:14:28.415Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:14:28.415Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (82539.313 ms) ======
[2026-02-06T13:14:28.415Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-06T13:14:29.483Z] GC before operation: completed in 691.244 ms, heap usage 942.891 MB -> 92.989 MB.
[2026-02-06T13:14:43.002Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:14:56.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:15:10.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:15:21.358Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:15:31.007Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:15:38.868Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:15:46.182Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:15:53.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:15:54.649Z] 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.
[2026-02-06T13:15:54.649Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:15:54.649Z] Top recommended movies for user id 72:
[2026-02-06T13:15:54.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:15:54.649Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:15:54.649Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:15:54.649Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:15:54.649Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:15:54.649Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (85486.394 ms) ======
[2026-02-06T13:15:54.649Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-06T13:15:55.058Z] GC before operation: completed in 463.562 ms, heap usage 1.022 GB -> 93.778 MB.
[2026-02-06T13:16:14.232Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:16:23.630Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:16:35.309Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:16:46.330Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:16:52.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:16:58.288Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:17:04.128Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:17:10.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:17:10.375Z] 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.
[2026-02-06T13:17:10.375Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:17:10.375Z] Top recommended movies for user id 72:
[2026-02-06T13:17:10.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:17:10.375Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:17:10.375Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:17:10.375Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:17:10.375Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:17:10.375Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (75375.166 ms) ======
[2026-02-06T13:17:10.375Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-06T13:17:11.428Z] GC before operation: completed in 710.930 ms, heap usage 341.275 MB -> 88.695 MB.
[2026-02-06T13:17:22.376Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:17:37.846Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:17:47.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:18:00.638Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:18:08.064Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:18:13.123Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:18:19.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:18:25.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:18:26.254Z] 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.
[2026-02-06T13:18:26.254Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:18:26.254Z] Top recommended movies for user id 72:
[2026-02-06T13:18:26.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:18:26.254Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:18:26.254Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:18:26.254Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:18:26.254Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:18:26.254Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (75060.966 ms) ======
[2026-02-06T13:18:26.254Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-06T13:18:26.779Z] GC before operation: completed in 378.951 ms, heap usage 533.640 MB -> 89.345 MB.
[2026-02-06T13:18:42.049Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:18:55.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:19:08.361Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:19:20.013Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:19:25.073Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:19:31.259Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:19:36.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:19:42.235Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:19:44.002Z] 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.
[2026-02-06T13:19:44.002Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:19:44.002Z] Top recommended movies for user id 72:
[2026-02-06T13:19:44.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:19:44.002Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:19:44.003Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:19:44.003Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:19:44.003Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:19:44.003Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (77311.974 ms) ======
[2026-02-06T13:19:44.003Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-06T13:19:44.483Z] GC before operation: completed in 239.027 ms, heap usage 367.757 MB -> 90.306 MB.
[2026-02-06T13:19:55.383Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:20:13.880Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:20:24.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:20:36.244Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:20:42.450Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:20:48.630Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:20:54.742Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:21:00.725Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:21:01.726Z] 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.
[2026-02-06T13:21:01.726Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:21:02.859Z] Top recommended movies for user id 72:
[2026-02-06T13:21:02.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:21:02.859Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:21:02.859Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:21:02.859Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:21:02.859Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:21:02.859Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (78468.808 ms) ======
[2026-02-06T13:21:02.859Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-06T13:21:02.859Z] GC before operation: completed in 294.259 ms, heap usage 1.462 GB -> 94.990 MB.
[2026-02-06T13:21:15.805Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:21:29.194Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:21:42.323Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:21:53.288Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:21:59.484Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:22:06.918Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:22:12.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:22:18.152Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:22:19.961Z] 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.
[2026-02-06T13:22:19.961Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:22:19.961Z] Top recommended movies for user id 72:
[2026-02-06T13:22:19.961Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:22:19.961Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:22:19.961Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:22:19.961Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:22:19.961Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:22:19.961Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (76949.777 ms) ======
[2026-02-06T13:22:19.961Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-06T13:22:20.479Z] GC before operation: completed in 363.471 ms, heap usage 366.173 MB -> 89.137 MB.
[2026-02-06T13:22:39.222Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:22:52.990Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:23:04.303Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:23:15.065Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:23:19.114Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:23:25.093Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:23:29.924Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:23:35.098Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:23:37.009Z] 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.
[2026-02-06T13:23:37.009Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:23:37.009Z] Top recommended movies for user id 72:
[2026-02-06T13:23:37.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:23:37.009Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:23:37.009Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:23:37.009Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:23:37.009Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:23:37.009Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (76742.407 ms) ======
[2026-02-06T13:23:37.009Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-06T13:23:37.447Z] GC before operation: completed in 292.331 ms, heap usage 509.765 MB -> 89.498 MB.
[2026-02-06T13:23:47.858Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:23:59.197Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:24:12.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:24:23.654Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:24:33.010Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:24:42.107Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:24:51.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:24:57.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:24:58.755Z] 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.
[2026-02-06T13:24:59.248Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:24:59.248Z] Top recommended movies for user id 72:
[2026-02-06T13:24:59.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:24:59.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:24:59.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:24:59.248Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:24:59.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:24:59.248Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (81930.188 ms) ======
[2026-02-06T13:24:59.248Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-06T13:24:59.697Z] GC before operation: completed in 444.757 ms, heap usage 516.648 MB -> 90.993 MB.
[2026-02-06T13:25:13.439Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:25:28.589Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:25:39.339Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:25:47.955Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:25:53.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:26:01.407Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:26:07.751Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:26:14.278Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:26:16.070Z] 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.
[2026-02-06T13:26:16.615Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:26:16.615Z] Top recommended movies for user id 72:
[2026-02-06T13:26:16.615Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:26:16.615Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:26:16.615Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:26:16.615Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:26:16.615Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:26:16.615Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (76858.309 ms) ======
[2026-02-06T13:26:16.615Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-06T13:26:17.107Z] GC before operation: completed in 364.118 ms, heap usage 310.200 MB -> 89.453 MB.
[2026-02-06T13:26:33.052Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:26:44.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:26:55.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:27:03.247Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:27:10.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:27:16.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:27:21.416Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:27:27.546Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:27:27.955Z] 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.
[2026-02-06T13:27:27.955Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:27:28.485Z] Top recommended movies for user id 72:
[2026-02-06T13:27:28.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:27:28.485Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:27:28.485Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:27:28.485Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:27:28.485Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:27:28.485Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (71250.087 ms) ======
[2026-02-06T13:27:28.485Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-06T13:27:28.965Z] GC before operation: completed in 646.979 ms, heap usage 205.460 MB -> 89.131 MB.
[2026-02-06T13:27:41.764Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:27:54.974Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:28:07.879Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:28:16.628Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:28:22.640Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:28:29.993Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:28:37.414Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:28:45.039Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:28:45.648Z] 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.
[2026-02-06T13:28:45.648Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:28:46.920Z] Top recommended movies for user id 72:
[2026-02-06T13:28:46.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:28:46.920Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:28:46.920Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:28:46.920Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:28:46.920Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:28:46.920Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (77817.678 ms) ======
[2026-02-06T13:28:46.920Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-06T13:28:47.389Z] GC before operation: completed in 695.156 ms, heap usage 206.589 MB -> 88.945 MB.
[2026-02-06T13:29:03.562Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:29:16.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:29:31.896Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:29:45.782Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:29:55.001Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:30:00.424Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:30:10.282Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:30:18.141Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:30:18.797Z] 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.
[2026-02-06T13:30:18.797Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:30:19.387Z] Top recommended movies for user id 72:
[2026-02-06T13:30:19.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:30:19.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:30:19.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:30:19.388Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:30:19.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:30:19.388Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (91660.109 ms) ======
[2026-02-06T13:30:19.388Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-06T13:30:19.388Z] GC before operation: completed in 171.302 ms, heap usage 314.972 MB -> 89.479 MB.
[2026-02-06T13:30:32.742Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:30:45.926Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:30:56.243Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:31:08.758Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:31:14.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:31:22.205Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:31:31.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:31:39.224Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:31:40.288Z] 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.
[2026-02-06T13:31:40.288Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:31:40.767Z] Top recommended movies for user id 72:
[2026-02-06T13:31:40.767Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:31:40.767Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:31:40.767Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:31:40.767Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:31:40.767Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:31:40.767Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (81424.203 ms) ======
[2026-02-06T13:31:40.767Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-06T13:31:41.212Z] GC before operation: completed in 279.260 ms, heap usage 271.707 MB -> 89.145 MB.
[2026-02-06T13:31:59.676Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:32:11.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:32:26.623Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:32:35.929Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:32:42.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:32:47.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:32:53.975Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:33:01.871Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:33:02.394Z] 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.
[2026-02-06T13:33:02.394Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:33:02.394Z] Top recommended movies for user id 72:
[2026-02-06T13:33:02.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:33:02.394Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:33:02.394Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:33:02.394Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:33:02.394Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:33:02.394Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (81501.122 ms) ======
[2026-02-06T13:33:02.394Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-06T13:33:02.893Z] GC before operation: completed in 454.753 ms, heap usage 1.488 GB -> 95.160 MB.
[2026-02-06T13:33:19.365Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:33:35.084Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:33:43.785Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:33:52.592Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:33:57.600Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:34:02.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:34:08.953Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:34:15.196Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:34:15.196Z] 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.
[2026-02-06T13:34:15.196Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:34:15.736Z] Top recommended movies for user id 72:
[2026-02-06T13:34:15.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:34:15.736Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:34:15.736Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:34:15.736Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:34:15.736Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:34:15.736Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (72511.027 ms) ======
[2026-02-06T13:34:15.736Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-06T13:34:16.254Z] GC before operation: completed in 908.496 ms, heap usage 1.735 GB -> 95.419 MB.
[2026-02-06T13:34:29.102Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:34:38.155Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:34:48.925Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:34:56.608Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:35:01.642Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:35:08.119Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:35:17.190Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:35:22.474Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:35:23.649Z] 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.
[2026-02-06T13:35:23.649Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:35:24.062Z] Top recommended movies for user id 72:
[2026-02-06T13:35:24.062Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:35:24.062Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:35:24.062Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:35:24.062Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:35:24.062Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:35:24.062Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (67536.368 ms) ======
[2026-02-06T13:35:24.062Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-06T13:35:24.062Z] GC before operation: completed in 217.860 ms, heap usage 124.049 MB -> 88.967 MB.
[2026-02-06T13:35:37.758Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T13:35:51.312Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T13:36:07.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T13:36:23.104Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T13:36:29.372Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T13:36:36.842Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T13:36:43.177Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T13:36:49.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T13:36:49.099Z] 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.
[2026-02-06T13:36:49.099Z] The best model improves the baseline by 14.52%.
[2026-02-06T13:36:50.518Z] Top recommended movies for user id 72:
[2026-02-06T13:36:50.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T13:36:50.519Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T13:36:50.519Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T13:36:50.519Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T13:36:50.519Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T13:36:50.519Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (86529.816 ms) ======
[2026-02-06T13:36:54.156Z] -----------------------------------
[2026-02-06T13:36:54.156Z] renaissance-movie-lens_0_PASSED
[2026-02-06T13:36:54.156Z] -----------------------------------
[2026-02-06T13:36:54.156Z]
[2026-02-06T13:36:54.156Z] TEST TEARDOWN:
[2026-02-06T13:36:54.156Z] Nothing to be done for teardown.
[2026-02-06T13:36:54.554Z] renaissance-movie-lens_0 Finish Time: Fri Feb 6 08:36:54 2026 Epoch Time (ms): 1770385014031