renaissance-movie-lens_0
[2026-02-13T01:26:14.754Z] Running test renaissance-movie-lens_0 ...
[2026-02-13T01:26:14.754Z] ===============================================
[2026-02-13T01:26:14.754Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 20:26:14 2026 Epoch Time (ms): 1770945974434
[2026-02-13T01:26:14.754Z] variation: NoOptions
[2026-02-13T01:26:14.754Z] JVM_OPTIONS:
[2026-02-13T01:26:14.754Z] { \
[2026-02-13T01:26:14.754Z] echo ""; echo "TEST SETUP:"; \
[2026-02-13T01:26:14.754Z] echo "Nothing to be done for setup."; \
[2026-02-13T01:26:14.754Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17709455948905/renaissance-movie-lens_0"; \
[2026-02-13T01:26:14.754Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17709455948905/renaissance-movie-lens_0"; \
[2026-02-13T01:26:14.754Z] echo ""; echo "TESTING:"; \
[2026-02-13T01:26:14.754Z] "/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_17709455948905/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-13T01:26:14.754Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17709455948905/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-13T01:26:14.754Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-13T01:26:14.754Z] echo "Nothing to be done for teardown."; \
[2026-02-13T01:26:14.754Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17709455948905/TestTargetResult";
[2026-02-13T01:26:14.754Z]
[2026-02-13T01:26:14.754Z] TEST SETUP:
[2026-02-13T01:26:14.754Z] Nothing to be done for setup.
[2026-02-13T01:26:14.754Z]
[2026-02-13T01:26:14.754Z] TESTING:
[2026-02-13T01:26:15.145Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-13T01:26:15.145Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17709455948905/renaissance-movie-lens_0/launcher-202614-12910272488595585068/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-13T01:26:15.145Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-13T01:26:15.145Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-13T01:26:18.484Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-13T01:26:21.018Z] 20:26:20.519 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-13T01:26:21.830Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-13T01:26:21.830Z] Training: 60056, validation: 20285, test: 19854
[2026-02-13T01:26:21.830Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-13T01:26:21.830Z] GC before operation: completed in 49.132 ms, heap usage 329.066 MB -> 75.914 MB.
[2026-02-13T01:26:25.194Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:26:26.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:26:28.360Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:26:29.621Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:26:30.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:26:31.196Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:26:31.973Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:26:32.769Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:26:32.770Z] 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.
[2026-02-13T01:26:32.770Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:26:33.170Z] Top recommended movies for user id 72:
[2026-02-13T01:26:33.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:26:33.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:26:33.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:26:33.170Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:26:33.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:26:33.170Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11059.814 ms) ======
[2026-02-13T01:26:33.170Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-13T01:26:33.170Z] GC before operation: completed in 51.344 ms, heap usage 207.075 MB -> 86.623 MB.
[2026-02-13T01:26:34.498Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:26:35.753Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:26:37.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:26:38.814Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:26:39.222Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:26:40.029Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:26:40.833Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:26:41.624Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:26:41.624Z] 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.
[2026-02-13T01:26:41.624Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:26:41.624Z] Top recommended movies for user id 72:
[2026-02-13T01:26:41.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:26:41.624Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:26:41.624Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:26:41.624Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:26:41.624Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:26:41.624Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8680.584 ms) ======
[2026-02-13T01:26:41.624Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-13T01:26:41.624Z] GC before operation: completed in 46.141 ms, heap usage 205.598 MB -> 88.815 MB.
[2026-02-13T01:26:43.472Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:26:44.749Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:26:46.095Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:26:47.346Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:26:47.702Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:26:48.494Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:26:49.262Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:26:50.073Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:26:50.073Z] 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.
[2026-02-13T01:26:50.073Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:26:50.435Z] Top recommended movies for user id 72:
[2026-02-13T01:26:50.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:26:50.435Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:26:50.435Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:26:50.435Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:26:50.435Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:26:50.435Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (8526.105 ms) ======
[2026-02-13T01:26:50.435Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-13T01:26:50.435Z] GC before operation: completed in 44.211 ms, heap usage 285.381 MB -> 89.591 MB.
[2026-02-13T01:26:51.714Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:26:52.973Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:26:54.751Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:26:56.023Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:26:56.817Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:26:57.602Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:26:58.389Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:26:59.172Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:26:59.172Z] 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.
[2026-02-13T01:26:59.172Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:26:59.172Z] Top recommended movies for user id 72:
[2026-02-13T01:26:59.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:26:59.172Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:26:59.172Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:26:59.172Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:26:59.172Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:26:59.172Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (8777.816 ms) ======
[2026-02-13T01:26:59.172Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-13T01:26:59.172Z] GC before operation: completed in 40.505 ms, heap usage 240.312 MB -> 89.805 MB.
[2026-02-13T01:27:00.965Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:27:01.742Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:27:03.014Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:27:04.292Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:27:04.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:27:05.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:27:06.710Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:27:07.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:27:07.090Z] 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.
[2026-02-13T01:27:07.090Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:27:07.451Z] Top recommended movies for user id 72:
[2026-02-13T01:27:07.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:27:07.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:27:07.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:27:07.451Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:27:07.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:27:07.451Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8117.267 ms) ======
[2026-02-13T01:27:07.451Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-13T01:27:07.451Z] GC before operation: completed in 65.170 ms, heap usage 280.829 MB -> 89.887 MB.
[2026-02-13T01:27:08.737Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:27:09.980Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:27:11.261Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:27:12.042Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:27:12.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:27:13.656Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:27:14.037Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:27:14.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:27:14.825Z] 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.
[2026-02-13T01:27:14.825Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:27:15.189Z] Top recommended movies for user id 72:
[2026-02-13T01:27:15.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:27:15.189Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:27:15.189Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:27:15.189Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:27:15.189Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:27:15.189Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7697.159 ms) ======
[2026-02-13T01:27:15.189Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-13T01:27:15.189Z] GC before operation: completed in 47.114 ms, heap usage 706.690 MB -> 93.969 MB.
[2026-02-13T01:27:16.428Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:27:17.693Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:27:18.994Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:27:19.771Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:27:20.592Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:27:20.953Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:27:21.722Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:27:22.504Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:27:22.504Z] 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.
[2026-02-13T01:27:22.504Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:27:22.882Z] Top recommended movies for user id 72:
[2026-02-13T01:27:22.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:27:22.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:27:22.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:27:22.882Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:27:22.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:27:22.882Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7585.508 ms) ======
[2026-02-13T01:27:22.882Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-13T01:27:22.882Z] GC before operation: completed in 80.999 ms, heap usage 254.109 MB -> 90.170 MB.
[2026-02-13T01:27:24.177Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:27:25.471Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:27:26.704Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:27:27.515Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:27:28.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:27:29.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:27:30.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:27:30.423Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:27:30.423Z] 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.
[2026-02-13T01:27:30.423Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:27:30.423Z] Top recommended movies for user id 72:
[2026-02-13T01:27:30.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:27:30.423Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:27:30.423Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:27:30.423Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:27:30.423Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:27:30.423Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7806.023 ms) ======
[2026-02-13T01:27:30.423Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-13T01:27:30.811Z] GC before operation: completed in 53.864 ms, heap usage 418.715 MB -> 90.703 MB.
[2026-02-13T01:27:32.077Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:27:32.919Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:27:34.177Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:27:35.549Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:27:35.979Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:27:36.819Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:27:37.619Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:27:38.460Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:27:38.880Z] 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.
[2026-02-13T01:27:38.880Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:27:38.880Z] Top recommended movies for user id 72:
[2026-02-13T01:27:38.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:27:38.880Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:27:38.880Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:27:38.880Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:27:38.880Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:27:38.880Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8153.922 ms) ======
[2026-02-13T01:27:38.880Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-13T01:27:38.880Z] GC before operation: completed in 77.771 ms, heap usage 244.361 MB -> 90.222 MB.
[2026-02-13T01:27:40.224Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:27:42.054Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:27:43.351Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:27:44.763Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:27:46.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:27:47.318Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:27:48.585Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:27:49.919Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:27:49.919Z] 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.
[2026-02-13T01:27:49.919Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:27:49.919Z] Top recommended movies for user id 72:
[2026-02-13T01:27:49.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:27:49.919Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:27:49.919Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:27:49.919Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:27:49.919Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:27:49.919Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11105.763 ms) ======
[2026-02-13T01:27:49.919Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-13T01:27:49.919Z] GC before operation: completed in 55.703 ms, heap usage 391.400 MB -> 90.614 MB.
[2026-02-13T01:27:51.709Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:27:52.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:27:54.233Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:27:56.086Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:27:57.897Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:27:59.183Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:28:00.457Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:28:01.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:28:01.759Z] 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.
[2026-02-13T01:28:01.759Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:28:01.759Z] Top recommended movies for user id 72:
[2026-02-13T01:28:01.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:28:01.759Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:28:01.759Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:28:01.759Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:28:01.759Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:28:01.759Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11855.202 ms) ======
[2026-02-13T01:28:01.759Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-13T01:28:02.119Z] GC before operation: completed in 58.331 ms, heap usage 112.372 MB -> 89.989 MB.
[2026-02-13T01:28:03.439Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:28:05.248Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:28:07.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:28:08.317Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:28:09.547Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:28:10.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:28:11.102Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:28:11.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:28:12.257Z] 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.
[2026-02-13T01:28:12.257Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:28:12.257Z] Top recommended movies for user id 72:
[2026-02-13T01:28:12.257Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:28:12.257Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:28:12.257Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:28:12.257Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:28:12.257Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:28:12.257Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10326.037 ms) ======
[2026-02-13T01:28:12.257Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-13T01:28:12.257Z] GC before operation: completed in 53.189 ms, heap usage 359.201 MB -> 90.509 MB.
[2026-02-13T01:28:14.025Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:28:15.254Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:28:16.473Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:28:18.266Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:28:19.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:28:19.805Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:28:20.563Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:28:21.325Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:28:21.325Z] 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.
[2026-02-13T01:28:21.325Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:28:21.680Z] Top recommended movies for user id 72:
[2026-02-13T01:28:21.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:28:21.680Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:28:21.680Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:28:21.680Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:28:21.680Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:28:21.680Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9205.742 ms) ======
[2026-02-13T01:28:21.680Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-13T01:28:21.680Z] GC before operation: completed in 46.168 ms, heap usage 540.883 MB -> 94.130 MB.
[2026-02-13T01:28:22.898Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:28:25.281Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:28:27.065Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:28:29.462Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:28:30.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:28:30.997Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:28:32.227Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:28:32.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:28:33.340Z] 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.
[2026-02-13T01:28:33.340Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:28:33.340Z] Top recommended movies for user id 72:
[2026-02-13T01:28:33.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:28:33.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:28:33.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:28:33.340Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:28:33.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:28:33.340Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11733.079 ms) ======
[2026-02-13T01:28:33.340Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-13T01:28:33.340Z] GC before operation: completed in 72.311 ms, heap usage 368.805 MB -> 90.429 MB.
[2026-02-13T01:28:35.081Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:28:36.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:28:38.148Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:28:39.377Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:28:40.141Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:28:40.908Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:28:41.675Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:28:42.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:28:42.917Z] 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.
[2026-02-13T01:28:42.917Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:28:42.917Z] Top recommended movies for user id 72:
[2026-02-13T01:28:42.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:28:42.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:28:42.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:28:42.917Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:28:42.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:28:42.917Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (9537.487 ms) ======
[2026-02-13T01:28:42.917Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-13T01:28:42.918Z] GC before operation: completed in 115.834 ms, heap usage 164.696 MB -> 93.141 MB.
[2026-02-13T01:28:45.307Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:28:47.911Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:28:49.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:28:51.440Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:28:52.218Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:28:52.979Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:28:53.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:28:54.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:28:54.913Z] 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.
[2026-02-13T01:28:54.913Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:28:54.913Z] Top recommended movies for user id 72:
[2026-02-13T01:28:54.913Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:28:54.913Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:28:54.913Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:28:54.913Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:28:54.913Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:28:54.913Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11857.336 ms) ======
[2026-02-13T01:28:54.913Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-13T01:28:54.913Z] GC before operation: completed in 89.662 ms, heap usage 476.061 MB -> 90.634 MB.
[2026-02-13T01:28:57.315Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:28:58.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:29:00.359Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:29:02.201Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:29:02.995Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:29:03.829Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:29:05.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:29:05.869Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:29:05.869Z] 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.
[2026-02-13T01:29:05.869Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:29:05.869Z] Top recommended movies for user id 72:
[2026-02-13T01:29:05.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:29:05.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:29:05.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:29:05.869Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:29:05.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:29:05.869Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (10933.040 ms) ======
[2026-02-13T01:29:05.870Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-13T01:29:05.870Z] GC before operation: completed in 79.245 ms, heap usage 198.894 MB -> 90.350 MB.
[2026-02-13T01:29:07.690Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:29:10.166Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:29:11.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:29:13.189Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:29:14.002Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:29:15.236Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:29:16.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:29:16.818Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:29:17.198Z] 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.
[2026-02-13T01:29:17.198Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:29:17.198Z] Top recommended movies for user id 72:
[2026-02-13T01:29:17.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:29:17.198Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:29:17.198Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:29:17.198Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:29:17.198Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:29:17.198Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11081.011 ms) ======
[2026-02-13T01:29:17.198Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-13T01:29:17.198Z] GC before operation: completed in 95.844 ms, heap usage 427.905 MB -> 90.599 MB.
[2026-02-13T01:29:19.036Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:29:20.992Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:29:22.253Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:29:24.081Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:29:24.897Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:29:26.237Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:29:28.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:29:29.462Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:29:29.462Z] 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.
[2026-02-13T01:29:29.462Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:29:29.462Z] Top recommended movies for user id 72:
[2026-02-13T01:29:29.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:29:29.462Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:29:29.462Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:29:29.462Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:29:29.462Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:29:29.462Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12353.446 ms) ======
[2026-02-13T01:29:29.462Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-13T01:29:29.462Z] GC before operation: completed in 62.809 ms, heap usage 120.928 MB -> 90.338 MB.
[2026-02-13T01:29:31.232Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T01:29:33.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T01:29:34.280Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T01:29:35.519Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T01:29:36.287Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T01:29:37.139Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T01:29:37.918Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T01:29:39.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T01:29:39.143Z] 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.
[2026-02-13T01:29:39.143Z] The best model improves the baseline by 14.52%.
[2026-02-13T01:29:39.143Z] Top recommended movies for user id 72:
[2026-02-13T01:29:39.143Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T01:29:39.143Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T01:29:39.143Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T01:29:39.143Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T01:29:39.143Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T01:29:39.143Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (9576.289 ms) ======
[2026-02-13T01:29:39.497Z] -----------------------------------
[2026-02-13T01:29:39.497Z] renaissance-movie-lens_0_PASSED
[2026-02-13T01:29:39.497Z] -----------------------------------
[2026-02-13T01:29:39.497Z]
[2026-02-13T01:29:39.497Z] TEST TEARDOWN:
[2026-02-13T01:29:39.497Z] Nothing to be done for teardown.
[2026-02-13T01:29:39.497Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 20:29:39 2026 Epoch Time (ms): 1770946179226