renaissance-movie-lens_0
[2025-12-27T13:11:01.735Z] Running test renaissance-movie-lens_0 ...
[2025-12-27T13:11:01.735Z] ===============================================
[2025-12-27T13:11:01.735Z] renaissance-movie-lens_0 Start Time: Sat Dec 27 08:11:01 2025 Epoch Time (ms): 1766841061381
[2025-12-27T13:11:01.735Z] variation: NoOptions
[2025-12-27T13:11:01.735Z] JVM_OPTIONS:
[2025-12-27T13:11:01.735Z] { \
[2025-12-27T13:11:01.735Z] echo ""; echo "TEST SETUP:"; \
[2025-12-27T13:11:01.735Z] echo "Nothing to be done for setup."; \
[2025-12-27T13:11:01.735Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17668404806638/renaissance-movie-lens_0"; \
[2025-12-27T13:11:01.735Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17668404806638/renaissance-movie-lens_0"; \
[2025-12-27T13:11:01.735Z] echo ""; echo "TESTING:"; \
[2025-12-27T13:11:01.735Z] "/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_17668404806638/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-27T13:11:01.735Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17668404806638/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-27T13:11:01.735Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-27T13:11:01.735Z] echo "Nothing to be done for teardown."; \
[2025-12-27T13:11:01.735Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17668404806638/TestTargetResult";
[2025-12-27T13:11:01.735Z]
[2025-12-27T13:11:01.735Z] TEST SETUP:
[2025-12-27T13:11:01.735Z] Nothing to be done for setup.
[2025-12-27T13:11:01.735Z]
[2025-12-27T13:11:01.735Z] TESTING:
[2025-12-27T13:11:01.735Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-27T13:11:01.735Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17668404806638/renaissance-movie-lens_0/launcher-081101-2701239234751747403/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-27T13:11:01.735Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-27T13:11:01.735Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-27T13:11:04.233Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-12-27T13:11:06.702Z] 08:11:06.155 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.
[2025-12-27T13:11:07.072Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-27T13:11:07.437Z] Training: 60056, validation: 20285, test: 19854
[2025-12-27T13:11:07.437Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-27T13:11:07.437Z] GC before operation: completed in 47.867 ms, heap usage 153.205 MB -> 75.960 MB.
[2025-12-27T13:11:09.892Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:11:11.675Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:11:12.939Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:11:14.202Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:11:15.499Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:11:16.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:11:17.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:11:17.921Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:11:17.921Z] 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.
[2025-12-27T13:11:17.921Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:11:17.921Z] Top recommended movies for user id 72:
[2025-12-27T13:11:17.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:11:17.921Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:11:17.921Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:11:17.921Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:11:17.921Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:11:17.921Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (10706.714 ms) ======
[2025-12-27T13:11:17.921Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-27T13:11:18.274Z] GC before operation: completed in 57.321 ms, heap usage 406.573 MB -> 86.990 MB.
[2025-12-27T13:11:19.525Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:11:20.820Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:11:22.132Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:11:23.399Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:11:24.171Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:11:24.947Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:11:25.720Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:11:26.487Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:11:26.858Z] 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.
[2025-12-27T13:11:26.858Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:11:26.858Z] Top recommended movies for user id 72:
[2025-12-27T13:11:26.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:11:26.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:11:26.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:11:26.858Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:11:26.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:11:26.858Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8715.547 ms) ======
[2025-12-27T13:11:26.858Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-27T13:11:26.858Z] GC before operation: completed in 44.233 ms, heap usage 134.405 MB -> 88.728 MB.
[2025-12-27T13:11:28.103Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:11:29.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:11:31.122Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:11:31.889Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:11:32.672Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:11:33.438Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:11:34.207Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:11:34.977Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:11:34.977Z] 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.
[2025-12-27T13:11:34.977Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:11:35.336Z] Top recommended movies for user id 72:
[2025-12-27T13:11:35.337Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:11:35.337Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:11:35.337Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:11:35.337Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:11:35.337Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:11:35.337Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (8283.108 ms) ======
[2025-12-27T13:11:35.337Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-27T13:11:35.337Z] GC before operation: completed in 42.011 ms, heap usage 154.152 MB -> 91.333 MB.
[2025-12-27T13:11:36.566Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:11:37.337Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:11:38.579Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:11:39.834Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:11:40.614Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:11:41.460Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:11:42.250Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:11:43.033Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:11:43.033Z] 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.
[2025-12-27T13:11:43.033Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:11:43.033Z] Top recommended movies for user id 72:
[2025-12-27T13:11:43.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:11:43.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:11:43.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:11:43.033Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:11:43.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:11:43.033Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7895.749 ms) ======
[2025-12-27T13:11:43.033Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-27T13:11:43.033Z] GC before operation: completed in 53.539 ms, heap usage 121.763 MB -> 89.718 MB.
[2025-12-27T13:11:44.318Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:11:45.599Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:11:46.861Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:11:48.121Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:11:48.893Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:11:49.658Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:11:50.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:11:51.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:11:51.210Z] 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.
[2025-12-27T13:11:51.210Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:11:51.561Z] Top recommended movies for user id 72:
[2025-12-27T13:11:51.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:11:51.561Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:11:51.561Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:11:51.561Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:11:51.561Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:11:51.561Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8291.528 ms) ======
[2025-12-27T13:11:51.561Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-27T13:11:51.561Z] GC before operation: completed in 46.840 ms, heap usage 128.249 MB -> 90.324 MB.
[2025-12-27T13:11:52.784Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:11:54.077Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:11:55.319Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:11:56.082Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:11:56.848Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:11:57.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:11:58.385Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:11:58.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:11:59.102Z] 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.
[2025-12-27T13:11:59.102Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:11:59.102Z] Top recommended movies for user id 72:
[2025-12-27T13:11:59.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:11:59.102Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:11:59.102Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:11:59.102Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:11:59.102Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:11:59.102Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7526.431 ms) ======
[2025-12-27T13:11:59.102Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-27T13:11:59.102Z] GC before operation: completed in 46.787 ms, heap usage 587.627 MB -> 93.997 MB.
[2025-12-27T13:12:00.344Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:12:01.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:12:02.366Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:12:03.608Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:12:03.965Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:12:04.732Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:12:05.496Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:12:05.858Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:12:06.210Z] 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.
[2025-12-27T13:12:06.210Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:12:06.210Z] Top recommended movies for user id 72:
[2025-12-27T13:12:06.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:12:06.210Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:12:06.210Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:12:06.210Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:12:06.210Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:12:06.210Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7041.893 ms) ======
[2025-12-27T13:12:06.210Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-27T13:12:06.210Z] GC before operation: completed in 50.928 ms, heap usage 245.058 MB -> 90.142 MB.
[2025-12-27T13:12:07.433Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:12:08.197Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:12:09.428Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:12:10.194Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:12:10.947Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:12:11.439Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:12:12.214Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:12:13.004Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:12:13.004Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-27T13:12:13.004Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:12:13.004Z] Top recommended movies for user id 72:
[2025-12-27T13:12:13.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:12:13.004Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:12:13.004Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:12:13.004Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:12:13.004Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:12:13.004Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (6880.912 ms) ======
[2025-12-27T13:12:13.004Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-27T13:12:13.004Z] GC before operation: completed in 56.301 ms, heap usage 427.232 MB -> 90.616 MB.
[2025-12-27T13:12:14.246Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:12:15.010Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:12:16.232Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:12:16.994Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:12:17.767Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:12:18.524Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:12:19.304Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:12:19.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:12:19.673Z] 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.
[2025-12-27T13:12:19.673Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:12:20.027Z] Top recommended movies for user id 72:
[2025-12-27T13:12:20.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:12:20.027Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:12:20.027Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:12:20.027Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:12:20.027Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:12:20.027Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6754.683 ms) ======
[2025-12-27T13:12:20.027Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-27T13:12:20.027Z] GC before operation: completed in 42.892 ms, heap usage 251.448 MB -> 90.296 MB.
[2025-12-27T13:12:20.788Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:12:21.558Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:12:22.805Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:12:23.575Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:12:23.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:12:24.688Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:12:25.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:12:25.827Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:12:25.827Z] 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.
[2025-12-27T13:12:25.827Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:12:26.186Z] Top recommended movies for user id 72:
[2025-12-27T13:12:26.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:12:26.186Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:12:26.186Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:12:26.186Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:12:26.186Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:12:26.186Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6130.128 ms) ======
[2025-12-27T13:12:26.186Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-27T13:12:26.186Z] GC before operation: completed in 43.397 ms, heap usage 114.642 MB -> 92.856 MB.
[2025-12-27T13:12:26.957Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:12:27.721Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:12:28.956Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:12:29.733Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:12:30.095Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:12:30.850Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:12:31.215Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:12:32.047Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:12:32.047Z] 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.
[2025-12-27T13:12:32.047Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:12:32.047Z] Top recommended movies for user id 72:
[2025-12-27T13:12:32.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:12:32.047Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:12:32.047Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:12:32.047Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:12:32.047Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:12:32.047Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6026.674 ms) ======
[2025-12-27T13:12:32.047Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-27T13:12:32.047Z] GC before operation: completed in 42.460 ms, heap usage 714.909 MB -> 94.078 MB.
[2025-12-27T13:12:33.277Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:12:34.516Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:12:35.748Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:12:36.505Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:12:37.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:12:38.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:12:38.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:12:39.222Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:12:39.582Z] 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.
[2025-12-27T13:12:39.582Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:12:39.582Z] Top recommended movies for user id 72:
[2025-12-27T13:12:39.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:12:39.582Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:12:39.582Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:12:39.582Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:12:39.582Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:12:39.582Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (7334.716 ms) ======
[2025-12-27T13:12:39.582Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-27T13:12:39.582Z] GC before operation: completed in 49.942 ms, heap usage 354.580 MB -> 90.628 MB.
[2025-12-27T13:12:40.817Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:12:42.093Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:12:43.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:12:44.658Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:12:45.424Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:12:46.189Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:12:46.554Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:12:47.814Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:12:47.814Z] 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.
[2025-12-27T13:12:47.814Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:12:47.814Z] Top recommended movies for user id 72:
[2025-12-27T13:12:47.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:12:47.814Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:12:47.814Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:12:47.814Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:12:47.814Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:12:47.814Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8210.106 ms) ======
[2025-12-27T13:12:47.815Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-27T13:12:47.815Z] GC before operation: completed in 57.971 ms, heap usage 417.990 MB -> 90.886 MB.
[2025-12-27T13:12:49.577Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:12:51.367Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:12:53.171Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:12:54.985Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:12:55.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:12:56.544Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:12:57.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:12:58.578Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:12:58.954Z] 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.
[2025-12-27T13:12:58.954Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:12:58.954Z] Top recommended movies for user id 72:
[2025-12-27T13:12:58.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:12:58.954Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:12:58.954Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:12:58.954Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:12:58.954Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:12:58.954Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11154.873 ms) ======
[2025-12-27T13:12:58.954Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-27T13:12:58.954Z] GC before operation: completed in 76.537 ms, heap usage 359.642 MB -> 90.495 MB.
[2025-12-27T13:13:00.739Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:13:02.514Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:13:03.783Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:13:05.591Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:13:05.949Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:13:07.202Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:13:07.992Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:13:09.243Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:13:09.243Z] 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.
[2025-12-27T13:13:09.243Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:13:09.243Z] Top recommended movies for user id 72:
[2025-12-27T13:13:09.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:13:09.243Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:13:09.243Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:13:09.243Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:13:09.243Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:13:09.243Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (10281.664 ms) ======
[2025-12-27T13:13:09.243Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-27T13:13:09.243Z] GC before operation: completed in 61.741 ms, heap usage 121.389 MB -> 90.430 MB.
[2025-12-27T13:13:11.034Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:13:12.280Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:13:13.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:13:14.731Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:13:15.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:13:16.261Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:13:17.038Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:13:17.798Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:13:17.798Z] 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.
[2025-12-27T13:13:17.798Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:13:18.164Z] Top recommended movies for user id 72:
[2025-12-27T13:13:18.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:13:18.164Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:13:18.164Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:13:18.164Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:13:18.164Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:13:18.164Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (8660.464 ms) ======
[2025-12-27T13:13:18.164Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-27T13:13:18.164Z] GC before operation: completed in 68.768 ms, heap usage 294.541 MB -> 90.503 MB.
[2025-12-27T13:13:19.412Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:13:20.669Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:13:21.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:13:23.153Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:13:23.937Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:13:24.712Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:13:25.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:13:26.272Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:13:26.272Z] 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.
[2025-12-27T13:13:26.272Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:13:26.272Z] Top recommended movies for user id 72:
[2025-12-27T13:13:26.272Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:13:26.272Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:13:26.272Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:13:26.272Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:13:26.273Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:13:26.273Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8120.554 ms) ======
[2025-12-27T13:13:26.273Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-27T13:13:26.273Z] GC before operation: completed in 53.965 ms, heap usage 448.618 MB -> 90.754 MB.
[2025-12-27T13:13:27.597Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:13:28.387Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:13:29.637Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:13:31.513Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:13:32.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:13:33.165Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:13:34.407Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:13:35.195Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:13:35.195Z] 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.
[2025-12-27T13:13:35.195Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:13:35.555Z] Top recommended movies for user id 72:
[2025-12-27T13:13:35.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:13:35.555Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:13:35.555Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:13:35.555Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:13:35.555Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:13:35.555Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9126.881 ms) ======
[2025-12-27T13:13:35.555Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-27T13:13:35.555Z] GC before operation: completed in 55.418 ms, heap usage 428.615 MB -> 90.568 MB.
[2025-12-27T13:13:36.898Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:13:38.173Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:13:39.436Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:13:40.672Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:13:41.489Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:13:42.813Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:13:43.286Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:13:44.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:13:44.100Z] 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.
[2025-12-27T13:13:44.463Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:13:44.463Z] Top recommended movies for user id 72:
[2025-12-27T13:13:44.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:13:44.463Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:13:44.463Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:13:44.464Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:13:44.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:13:44.464Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (8893.295 ms) ======
[2025-12-27T13:13:44.464Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-27T13:13:44.464Z] GC before operation: completed in 53.223 ms, heap usage 368.429 MB -> 90.546 MB.
[2025-12-27T13:13:45.731Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-27T13:13:47.518Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-27T13:13:49.319Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-27T13:13:51.110Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-27T13:13:51.908Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-27T13:13:52.678Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-27T13:13:53.469Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-27T13:13:54.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-27T13:13:54.643Z] 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.
[2025-12-27T13:13:54.643Z] The best model improves the baseline by 14.52%.
[2025-12-27T13:13:54.643Z] Top recommended movies for user id 72:
[2025-12-27T13:13:54.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-27T13:13:54.643Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-27T13:13:54.643Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-27T13:13:54.643Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-27T13:13:54.643Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-27T13:13:54.643Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (10234.492 ms) ======
[2025-12-27T13:13:55.001Z] -----------------------------------
[2025-12-27T13:13:55.001Z] renaissance-movie-lens_0_PASSED
[2025-12-27T13:13:55.001Z] -----------------------------------
[2025-12-27T13:13:55.001Z]
[2025-12-27T13:13:55.001Z] TEST TEARDOWN:
[2025-12-27T13:13:55.001Z] Nothing to be done for teardown.
[2025-12-27T13:13:55.001Z] renaissance-movie-lens_0 Finish Time: Sat Dec 27 08:13:54 2025 Epoch Time (ms): 1766841234823