renaissance-movie-lens_0
[2026-02-20T00:15:47.077Z] Running test renaissance-movie-lens_0 ...
[2026-02-20T00:15:47.077Z] ===============================================
[2026-02-20T00:15:47.077Z] renaissance-movie-lens_0 Start Time: Thu Feb 19 19:15:46 2026 Epoch Time (ms): 1771546546668
[2026-02-20T00:15:47.077Z] variation: NoOptions
[2026-02-20T00:15:47.077Z] JVM_OPTIONS:
[2026-02-20T00:15:47.077Z] { \
[2026-02-20T00:15:47.077Z] echo ""; echo "TEST SETUP:"; \
[2026-02-20T00:15:47.077Z] echo "Nothing to be done for setup."; \
[2026-02-20T00:15:47.077Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17715462385608/renaissance-movie-lens_0"; \
[2026-02-20T00:15:47.078Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17715462385608/renaissance-movie-lens_0"; \
[2026-02-20T00:15:47.078Z] echo ""; echo "TESTING:"; \
[2026-02-20T00:15:47.078Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17715462385608/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-20T00:15:47.078Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17715462385608/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-20T00:15:47.078Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-20T00:15:47.078Z] echo "Nothing to be done for teardown."; \
[2026-02-20T00:15:47.078Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17715462385608/TestTargetResult";
[2026-02-20T00:15:47.078Z]
[2026-02-20T00:15:47.078Z] TEST SETUP:
[2026-02-20T00:15:47.078Z] Nothing to be done for setup.
[2026-02-20T00:15:47.078Z]
[2026-02-20T00:15:47.078Z] TESTING:
[2026-02-20T00:15:47.078Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-20T00:15:47.078Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17715462385608/renaissance-movie-lens_0/launcher-191546-17461325914508496329/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-20T00:15:47.078Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-20T00:15:47.078Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-20T00:15:50.161Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-20T00:15:53.246Z] 19:15:52.681 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-20T00:15:54.018Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-20T00:15:54.409Z] Training: 60056, validation: 20285, test: 19854
[2026-02-20T00:15:54.409Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-20T00:15:54.409Z] GC before operation: completed in 64.129 ms, heap usage 222.609 MB -> 76.044 MB.
[2026-02-20T00:15:56.775Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:15:58.522Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:16:00.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:16:02.235Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:16:02.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:16:04.215Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:16:04.975Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:16:05.724Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:16:05.724Z] 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.
[2026-02-20T00:16:06.070Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:16:06.070Z] Top recommended movies for user id 72:
[2026-02-20T00:16:06.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:16:06.070Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:16:06.070Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:16:06.070Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:16:06.070Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:16:06.070Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11657.090 ms) ======
[2026-02-20T00:16:06.070Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-20T00:16:06.070Z] GC before operation: completed in 51.954 ms, heap usage 390.565 MB -> 87.979 MB.
[2026-02-20T00:16:07.308Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:16:09.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:16:10.248Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:16:11.468Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:16:12.228Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:16:13.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:16:14.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:16:14.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:16:14.943Z] 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.
[2026-02-20T00:16:14.943Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:16:14.943Z] Top recommended movies for user id 72:
[2026-02-20T00:16:14.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:16:14.943Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:16:14.943Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:16:14.943Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:16:14.943Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:16:14.943Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8868.399 ms) ======
[2026-02-20T00:16:14.943Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-20T00:16:14.943Z] GC before operation: completed in 49.766 ms, heap usage 469.168 MB -> 89.086 MB.
[2026-02-20T00:16:16.156Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:16:17.981Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:16:19.216Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:16:20.428Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:16:21.173Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:16:22.053Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:16:22.419Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:16:23.174Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:16:23.174Z] 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.
[2026-02-20T00:16:23.174Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:16:23.522Z] Top recommended movies for user id 72:
[2026-02-20T00:16:23.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:16:23.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:16:23.522Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:16:23.522Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:16:23.522Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:16:23.522Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (8412.052 ms) ======
[2026-02-20T00:16:23.522Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-20T00:16:23.522Z] GC before operation: completed in 47.024 ms, heap usage 114.142 MB -> 89.207 MB.
[2026-02-20T00:16:24.734Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:16:26.496Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:16:27.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:16:29.048Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:16:29.804Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:16:30.556Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:16:31.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:16:32.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:16:32.515Z] 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.
[2026-02-20T00:16:32.515Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:16:32.515Z] Top recommended movies for user id 72:
[2026-02-20T00:16:32.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:16:32.515Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:16:32.515Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:16:32.515Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:16:32.515Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:16:32.515Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9071.590 ms) ======
[2026-02-20T00:16:32.515Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-20T00:16:32.515Z] GC before operation: completed in 61.512 ms, heap usage 358.606 MB -> 89.856 MB.
[2026-02-20T00:16:34.294Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:16:35.525Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:16:37.319Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:16:38.562Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:16:39.316Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:16:40.091Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:16:40.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:16:41.652Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:16:41.652Z] 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.
[2026-02-20T00:16:41.652Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:16:41.652Z] Top recommended movies for user id 72:
[2026-02-20T00:16:41.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:16:41.652Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:16:41.652Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:16:41.652Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:16:41.652Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:16:41.652Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9247.229 ms) ======
[2026-02-20T00:16:41.652Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-20T00:16:42.010Z] GC before operation: completed in 50.525 ms, heap usage 432.137 MB -> 89.896 MB.
[2026-02-20T00:16:43.838Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:16:44.632Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:16:45.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:16:47.655Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:16:48.031Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:16:49.308Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:16:50.149Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:16:50.981Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:16:50.981Z] 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.
[2026-02-20T00:16:50.981Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:16:50.981Z] Top recommended movies for user id 72:
[2026-02-20T00:16:50.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:16:50.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:16:50.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:16:50.981Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:16:50.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:16:50.981Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (9114.145 ms) ======
[2026-02-20T00:16:50.981Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-20T00:16:50.981Z] GC before operation: completed in 43.968 ms, heap usage 144.015 MB -> 89.914 MB.
[2026-02-20T00:16:52.251Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:16:54.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:16:55.483Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:16:56.730Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:16:57.505Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:16:58.295Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:16:59.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:16:59.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:17:00.399Z] 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.
[2026-02-20T00:17:00.399Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:17:00.399Z] Top recommended movies for user id 72:
[2026-02-20T00:17:00.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:17:00.399Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:17:00.399Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:17:00.399Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:17:00.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:17:00.399Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9224.466 ms) ======
[2026-02-20T00:17:00.399Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-20T00:17:00.399Z] GC before operation: completed in 50.320 ms, heap usage 360.882 MB -> 90.192 MB.
[2026-02-20T00:17:01.681Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:17:03.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:17:05.043Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:17:06.400Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:17:07.212Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:17:08.114Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:17:08.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:17:09.309Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:17:09.309Z] 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.
[2026-02-20T00:17:09.309Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:17:09.675Z] Top recommended movies for user id 72:
[2026-02-20T00:17:09.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:17:09.675Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:17:09.675Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:17:09.675Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:17:09.675Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:17:09.675Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9243.080 ms) ======
[2026-02-20T00:17:09.675Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-20T00:17:09.675Z] GC before operation: completed in 43.395 ms, heap usage 287.359 MB -> 90.311 MB.
[2026-02-20T00:17:10.952Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:17:12.415Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:17:13.189Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:17:14.457Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:17:14.807Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:17:15.193Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:17:15.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:17:16.805Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:17:16.806Z] 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.
[2026-02-20T00:17:16.806Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:17:17.161Z] Top recommended movies for user id 72:
[2026-02-20T00:17:17.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:17:17.161Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:17:17.161Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:17:17.161Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:17:17.161Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:17:17.161Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (7428.622 ms) ======
[2026-02-20T00:17:17.161Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-20T00:17:17.161Z] GC before operation: completed in 43.123 ms, heap usage 292.504 MB -> 90.105 MB.
[2026-02-20T00:17:18.414Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:17:19.679Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:17:20.465Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:17:22.265Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:17:23.099Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:17:23.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:17:24.751Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:17:25.538Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:17:25.538Z] 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.
[2026-02-20T00:17:25.538Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:17:25.901Z] Top recommended movies for user id 72:
[2026-02-20T00:17:25.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:17:25.901Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:17:25.901Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:17:25.901Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:17:25.901Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:17:25.901Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8693.957 ms) ======
[2026-02-20T00:17:25.901Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-20T00:17:25.901Z] GC before operation: completed in 45.498 ms, heap usage 124.115 MB -> 90.019 MB.
[2026-02-20T00:17:27.125Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:17:28.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:17:29.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:17:30.941Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:17:32.206Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:17:33.000Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:17:34.286Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:17:34.651Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:17:35.009Z] 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.
[2026-02-20T00:17:35.009Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:17:35.009Z] Top recommended movies for user id 72:
[2026-02-20T00:17:35.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:17:35.009Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:17:35.009Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:17:35.009Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:17:35.009Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:17:35.009Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (9214.223 ms) ======
[2026-02-20T00:17:35.009Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-20T00:17:35.009Z] GC before operation: completed in 50.021 ms, heap usage 105.716 MB -> 89.667 MB.
[2026-02-20T00:17:36.790Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:17:38.059Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:17:39.310Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:17:40.579Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:17:41.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:17:42.144Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:17:42.936Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:17:44.187Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:17:44.187Z] 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.
[2026-02-20T00:17:44.187Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:17:44.187Z] Top recommended movies for user id 72:
[2026-02-20T00:17:44.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:17:44.187Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:17:44.187Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:17:44.187Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:17:44.187Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:17:44.187Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (9196.142 ms) ======
[2026-02-20T00:17:44.187Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-20T00:17:44.187Z] GC before operation: completed in 52.519 ms, heap usage 455.138 MB -> 90.469 MB.
[2026-02-20T00:17:45.983Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:17:47.238Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:17:48.465Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:17:50.248Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:17:50.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:17:51.400Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:17:52.205Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:17:53.433Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:17:53.433Z] 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.
[2026-02-20T00:17:53.433Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:17:53.433Z] Top recommended movies for user id 72:
[2026-02-20T00:17:53.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:17:53.433Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:17:53.433Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:17:53.433Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:17:53.433Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:17:53.433Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9065.075 ms) ======
[2026-02-20T00:17:53.433Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-20T00:17:53.433Z] GC before operation: completed in 52.807 ms, heap usage 108.907 MB -> 90.090 MB.
[2026-02-20T00:17:55.190Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:17:56.437Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:17:58.195Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:17:59.442Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:18:00.212Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:18:00.608Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:18:01.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:18:02.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:18:02.668Z] 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.
[2026-02-20T00:18:02.668Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:18:02.668Z] Top recommended movies for user id 72:
[2026-02-20T00:18:02.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:18:02.668Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:18:02.668Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:18:02.668Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:18:02.668Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:18:02.668Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9133.972 ms) ======
[2026-02-20T00:18:02.668Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-20T00:18:02.668Z] GC before operation: completed in 64.213 ms, heap usage 671.955 MB -> 93.901 MB.
[2026-02-20T00:18:04.022Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:18:05.307Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:18:06.578Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:18:08.400Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:18:09.181Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:18:09.536Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:18:10.287Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:18:11.049Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:18:11.417Z] 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.
[2026-02-20T00:18:11.417Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:18:11.417Z] Top recommended movies for user id 72:
[2026-02-20T00:18:11.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:18:11.417Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:18:11.417Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:18:11.417Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:18:11.417Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:18:11.417Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8702.007 ms) ======
[2026-02-20T00:18:11.417Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-20T00:18:11.417Z] GC before operation: completed in 60.009 ms, heap usage 356.308 MB -> 90.605 MB.
[2026-02-20T00:18:13.181Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:18:13.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:18:15.708Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:18:16.939Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:18:17.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:18:18.078Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:18:18.859Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:18:19.626Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:18:19.626Z] 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.
[2026-02-20T00:18:19.626Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:18:20.006Z] Top recommended movies for user id 72:
[2026-02-20T00:18:20.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:18:20.006Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:18:20.006Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:18:20.006Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:18:20.006Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:18:20.006Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (8425.440 ms) ======
[2026-02-20T00:18:20.006Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-20T00:18:20.006Z] GC before operation: completed in 48.076 ms, heap usage 489.886 MB -> 90.648 MB.
[2026-02-20T00:18:21.254Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:18:22.510Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:18:23.732Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:18:25.490Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:18:26.265Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:18:27.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:18:27.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:18:28.337Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:18:28.713Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T00:18:28.713Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:18:28.713Z] Top recommended movies for user id 72:
[2026-02-20T00:18:28.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:18:28.713Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:18:28.713Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:18:28.713Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:18:28.713Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:18:28.713Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8844.217 ms) ======
[2026-02-20T00:18:28.713Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-20T00:18:28.713Z] GC before operation: completed in 68.165 ms, heap usage 252.297 MB -> 90.320 MB.
[2026-02-20T00:18:29.946Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:18:31.729Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:18:32.941Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:18:34.147Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:18:34.893Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:18:35.650Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:18:36.874Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:18:37.615Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:18:37.615Z] 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.
[2026-02-20T00:18:37.615Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:18:37.615Z] Top recommended movies for user id 72:
[2026-02-20T00:18:37.615Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:18:37.615Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:18:37.615Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:18:37.615Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:18:37.615Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:18:37.615Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8999.585 ms) ======
[2026-02-20T00:18:37.615Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-20T00:18:37.985Z] GC before operation: completed in 50.703 ms, heap usage 146.321 MB -> 89.956 MB.
[2026-02-20T00:18:39.804Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:18:41.579Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:18:42.325Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:18:44.081Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:18:44.463Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:18:45.683Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:18:46.441Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:18:47.192Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:18:47.192Z] 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.
[2026-02-20T00:18:47.192Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:18:47.192Z] Top recommended movies for user id 72:
[2026-02-20T00:18:47.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:18:47.192Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:18:47.192Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:18:47.192Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:18:47.192Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:18:47.192Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9514.877 ms) ======
[2026-02-20T00:18:47.192Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-20T00:18:47.541Z] GC before operation: completed in 49.091 ms, heap usage 297.883 MB -> 90.286 MB.
[2026-02-20T00:18:48.765Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T00:18:50.533Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T00:18:51.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T00:18:52.959Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T00:18:54.184Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T00:18:54.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T00:18:55.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T00:18:56.438Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T00:18:56.438Z] 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.
[2026-02-20T00:18:56.783Z] The best model improves the baseline by 14.52%.
[2026-02-20T00:18:56.783Z] Top recommended movies for user id 72:
[2026-02-20T00:18:56.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T00:18:56.783Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T00:18:56.783Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T00:18:56.783Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T00:18:56.783Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T00:18:56.783Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (9287.538 ms) ======
[2026-02-20T00:18:56.783Z] -----------------------------------
[2026-02-20T00:18:56.783Z] renaissance-movie-lens_0_PASSED
[2026-02-20T00:18:56.783Z] -----------------------------------
[2026-02-20T00:18:56.783Z]
[2026-02-20T00:18:56.783Z] TEST TEARDOWN:
[2026-02-20T00:18:56.783Z] Nothing to be done for teardown.
[2026-02-20T00:18:56.783Z] renaissance-movie-lens_0 Finish Time: Thu Feb 19 19:18:56 2026 Epoch Time (ms): 1771546736711