renaissance-movie-lens_0
[2026-02-15T20:29:56.645Z] Running test renaissance-movie-lens_0 ...
[2026-02-15T20:29:56.645Z] ===============================================
[2026-02-15T20:29:56.964Z] renaissance-movie-lens_0 Start Time: Sun Feb 15 20:29:56 2026 Epoch Time (ms): 1771187396653
[2026-02-15T20:29:56.964Z] variation: NoOptions
[2026-02-15T20:29:56.964Z] JVM_OPTIONS:
[2026-02-15T20:29:56.964Z] { \
[2026-02-15T20:29:56.964Z] echo ""; echo "TEST SETUP:"; \
[2026-02-15T20:29:56.964Z] echo "Nothing to be done for setup."; \
[2026-02-15T20:29:56.964Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17711873949594/renaissance-movie-lens_0"; \
[2026-02-15T20:29:56.964Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17711873949594/renaissance-movie-lens_0"; \
[2026-02-15T20:29:56.964Z] echo ""; echo "TESTING:"; \
[2026-02-15T20:29:56.964Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/jdkbinary/j2sdk-image/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 "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17711873949594/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-15T20:29:56.964Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17711873949594/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-15T20:29:56.964Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-15T20:29:56.964Z] echo "Nothing to be done for teardown."; \
[2026-02-15T20:29:56.964Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17711873949594/TestTargetResult";
[2026-02-15T20:29:56.964Z]
[2026-02-15T20:29:56.964Z] TEST SETUP:
[2026-02-15T20:29:56.964Z] Nothing to be done for setup.
[2026-02-15T20:29:56.964Z]
[2026-02-15T20:29:56.964Z] TESTING:
[2026-02-15T20:29:59.871Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-15T20:29:59.871Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/output_17711873949594/renaissance-movie-lens_0/launcher-202957-13320008170841351121/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-15T20:29:59.871Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-15T20:29:59.871Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-15T20:30:22.819Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-15T20:30:56.009Z] 20:30:50.895 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-15T20:31:01.844Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-15T20:31:04.063Z] Training: 60056, validation: 20285, test: 19854
[2026-02-15T20:31:04.063Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-15T20:31:04.772Z] GC before operation: completed in 612.110 ms, heap usage 306.825 MB -> 76.098 MB.
[2026-02-15T20:31:32.395Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:31:45.521Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:31:56.328Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:32:09.351Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:32:15.193Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:32:21.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:32:26.846Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:32:32.675Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:32:33.798Z] 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.
[2026-02-15T20:32:34.118Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:32:35.248Z] Top recommended movies for user id 72:
[2026-02-15T20:32:35.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:32:35.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:32:35.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:32:35.248Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:32:35.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:32:35.248Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (90296.256 ms) ======
[2026-02-15T20:32:35.248Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-15T20:32:35.981Z] GC before operation: completed in 1020.988 ms, heap usage 171.725 MB -> 88.511 MB.
[2026-02-15T20:32:48.994Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:32:57.844Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:33:06.623Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:33:15.425Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:33:21.264Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:33:27.087Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:33:34.306Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:33:38.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:33:39.671Z] 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.
[2026-02-15T20:33:39.671Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:33:40.356Z] Top recommended movies for user id 72:
[2026-02-15T20:33:40.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:33:40.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:33:40.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:33:40.356Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:33:40.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:33:40.356Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (64321.781 ms) ======
[2026-02-15T20:33:40.356Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-15T20:33:41.498Z] GC before operation: completed in 937.324 ms, heap usage 521.870 MB -> 89.157 MB.
[2026-02-15T20:33:52.228Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:34:01.021Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:34:09.812Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:34:17.309Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:34:22.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:34:27.909Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:34:32.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:34:37.286Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:34:38.413Z] 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.
[2026-02-15T20:34:38.414Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:34:39.550Z] Top recommended movies for user id 72:
[2026-02-15T20:34:39.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:34:39.550Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:34:39.550Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:34:39.550Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:34:39.550Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:34:39.550Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (57978.824 ms) ======
[2026-02-15T20:34:39.550Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-15T20:34:40.262Z] GC before operation: completed in 871.791 ms, heap usage 305.713 MB -> 89.407 MB.
[2026-02-15T20:34:50.979Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:34:58.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:35:06.994Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:35:15.778Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:35:20.462Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:35:26.287Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:35:30.970Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:35:36.813Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:35:37.502Z] 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.
[2026-02-15T20:35:37.502Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:35:38.189Z] Top recommended movies for user id 72:
[2026-02-15T20:35:38.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:35:38.189Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:35:38.189Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:35:38.189Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:35:38.189Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:35:38.189Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (57903.943 ms) ======
[2026-02-15T20:35:38.189Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-15T20:35:38.898Z] GC before operation: completed in 776.428 ms, heap usage 418.097 MB -> 89.778 MB.
[2026-02-15T20:35:49.627Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:35:56.803Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:36:07.589Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:36:16.381Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:36:21.063Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:36:27.005Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:36:32.838Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:36:37.529Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:36:38.226Z] 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.
[2026-02-15T20:36:38.547Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:36:39.245Z] Top recommended movies for user id 72:
[2026-02-15T20:36:39.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:36:39.245Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:36:39.245Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:36:39.245Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:36:39.245Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:36:39.245Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (60228.411 ms) ======
[2026-02-15T20:36:39.245Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-15T20:36:39.959Z] GC before operation: completed in 787.456 ms, heap usage 302.290 MB -> 89.696 MB.
[2026-02-15T20:36:50.675Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:36:57.909Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:37:06.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:37:13.894Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:37:18.630Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:37:24.462Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:37:30.307Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:37:35.002Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:37:36.117Z] 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.
[2026-02-15T20:37:36.117Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:37:36.805Z] Top recommended movies for user id 72:
[2026-02-15T20:37:36.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:37:36.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:37:36.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:37:36.805Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:37:36.806Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:37:36.806Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (56856.083 ms) ======
[2026-02-15T20:37:36.806Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-15T20:37:37.514Z] GC before operation: completed in 797.366 ms, heap usage 112.983 MB -> 89.830 MB.
[2026-02-15T20:37:46.292Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:37:53.460Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:38:00.649Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:38:09.427Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:38:13.140Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:38:17.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:38:22.496Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:38:27.224Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:38:28.001Z] 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.
[2026-02-15T20:38:28.351Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:38:28.676Z] Top recommended movies for user id 72:
[2026-02-15T20:38:29.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:38:29.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:38:29.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:38:29.025Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:38:29.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:38:29.025Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (51241.955 ms) ======
[2026-02-15T20:38:29.025Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-15T20:38:29.733Z] GC before operation: completed in 838.314 ms, heap usage 264.819 MB -> 89.873 MB.
[2026-02-15T20:38:38.520Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:38:45.688Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:38:52.853Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:39:00.038Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:39:04.716Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:39:10.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:39:15.227Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:39:19.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:39:20.241Z] 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.
[2026-02-15T20:39:20.563Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:39:20.882Z] Top recommended movies for user id 72:
[2026-02-15T20:39:20.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:39:20.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:39:20.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:39:20.882Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:39:20.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:39:20.882Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51318.334 ms) ======
[2026-02-15T20:39:20.882Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-15T20:39:22.037Z] GC before operation: completed in 847.012 ms, heap usage 264.214 MB -> 90.106 MB.
[2026-02-15T20:39:30.837Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:39:38.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:39:45.207Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:39:52.381Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:39:57.082Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:40:01.766Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:40:07.578Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:40:12.766Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:40:13.090Z] 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.
[2026-02-15T20:40:13.410Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:40:14.097Z] Top recommended movies for user id 72:
[2026-02-15T20:40:14.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:40:14.097Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:40:14.097Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:40:14.097Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:40:14.097Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:40:14.097Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (52200.506 ms) ======
[2026-02-15T20:40:14.097Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-15T20:40:14.805Z] GC before operation: completed in 817.216 ms, heap usage 387.390 MB -> 90.178 MB.
[2026-02-15T20:40:23.586Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:40:32.394Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:40:39.642Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:40:48.440Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:40:53.147Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:40:57.824Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:41:02.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:41:07.172Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:41:08.290Z] 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.
[2026-02-15T20:41:08.290Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:41:08.978Z] Top recommended movies for user id 72:
[2026-02-15T20:41:08.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:41:08.978Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:41:08.978Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:41:08.978Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:41:08.978Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:41:08.978Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54085.727 ms) ======
[2026-02-15T20:41:08.978Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-15T20:41:09.691Z] GC before operation: completed in 794.538 ms, heap usage 379.304 MB -> 90.522 MB.
[2026-02-15T20:41:18.474Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:41:27.432Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:41:34.603Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:41:43.408Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:41:47.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:41:52.990Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:41:58.827Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:42:03.502Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:42:03.822Z] 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.
[2026-02-15T20:42:04.150Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:42:04.897Z] Top recommended movies for user id 72:
[2026-02-15T20:42:04.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:42:04.897Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:42:04.897Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:42:04.897Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:42:04.897Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:42:04.897Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (55044.992 ms) ======
[2026-02-15T20:42:04.897Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-15T20:42:05.609Z] GC before operation: completed in 814.707 ms, heap usage 302.547 MB -> 90.151 MB.
[2026-02-15T20:42:14.403Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:42:21.579Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:42:30.421Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:42:37.600Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:42:43.421Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:42:48.126Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:42:54.063Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:42:58.735Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:42:59.056Z] 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.
[2026-02-15T20:42:59.056Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:42:59.744Z] Top recommended movies for user id 72:
[2026-02-15T20:42:59.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:42:59.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:42:59.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:42:59.744Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:42:59.744Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:42:59.744Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (54154.265 ms) ======
[2026-02-15T20:42:59.744Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-15T20:43:00.460Z] GC before operation: completed in 796.103 ms, heap usage 383.279 MB -> 90.458 MB.
[2026-02-15T20:43:09.309Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:43:16.496Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:43:25.293Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:43:32.470Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:43:37.276Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:43:43.097Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:43:48.923Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:43:53.606Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:43:54.301Z] 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.
[2026-02-15T20:43:54.301Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:43:55.008Z] Top recommended movies for user id 72:
[2026-02-15T20:43:55.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:43:55.008Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:43:55.008Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:43:55.008Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:43:55.008Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:43:55.008Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (54311.936 ms) ======
[2026-02-15T20:43:55.008Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-15T20:43:55.724Z] GC before operation: completed in 795.684 ms, heap usage 328.455 MB -> 90.579 MB.
[2026-02-15T20:44:04.523Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:44:11.712Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:44:20.624Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:44:27.825Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:44:33.641Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:44:37.360Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:44:42.052Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:44:46.727Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:44:47.045Z] 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.
[2026-02-15T20:44:47.045Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:44:47.747Z] Top recommended movies for user id 72:
[2026-02-15T20:44:47.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:44:47.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:44:47.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:44:47.748Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:44:47.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:44:47.748Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (51942.127 ms) ======
[2026-02-15T20:44:47.748Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-15T20:44:48.462Z] GC before operation: completed in 837.018 ms, heap usage 461.589 MB -> 90.458 MB.
[2026-02-15T20:44:57.271Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:45:04.544Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:45:11.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:45:18.917Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:45:22.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:45:27.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:45:32.018Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:45:36.702Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:45:37.024Z] 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.
[2026-02-15T20:45:37.024Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:45:37.716Z] Top recommended movies for user id 72:
[2026-02-15T20:45:37.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:45:37.716Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:45:37.716Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:45:37.716Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:45:37.716Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:45:37.716Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (49314.293 ms) ======
[2026-02-15T20:45:37.716Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-15T20:45:38.867Z] GC before operation: completed in 857.800 ms, heap usage 831.410 MB -> 94.348 MB.
[2026-02-15T20:45:47.783Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:45:53.614Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:46:02.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:46:08.228Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:46:12.912Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:46:17.596Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:46:23.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:46:28.198Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:46:28.519Z] 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.
[2026-02-15T20:46:28.519Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:46:29.208Z] Top recommended movies for user id 72:
[2026-02-15T20:46:29.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:46:29.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:46:29.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:46:29.209Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:46:29.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:46:29.209Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (50522.570 ms) ======
[2026-02-15T20:46:29.209Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-15T20:46:29.924Z] GC before operation: completed in 825.883 ms, heap usage 207.969 MB -> 90.085 MB.
[2026-02-15T20:46:38.726Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:46:45.909Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:46:53.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:47:00.279Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:47:03.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:47:08.783Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:47:13.483Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:47:18.171Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:47:18.490Z] 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.
[2026-02-15T20:47:18.490Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:47:19.178Z] Top recommended movies for user id 72:
[2026-02-15T20:47:19.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:47:19.178Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:47:19.178Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:47:19.178Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:47:19.178Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:47:19.178Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (49239.696 ms) ======
[2026-02-15T20:47:19.178Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-15T20:47:20.319Z] GC before operation: completed in 838.899 ms, heap usage 203.681 MB -> 90.265 MB.
[2026-02-15T20:47:29.155Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:47:36.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:47:43.520Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:47:52.342Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:47:57.016Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:48:01.694Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:48:06.374Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:48:11.057Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:48:12.175Z] 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.
[2026-02-15T20:48:12.175Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:48:12.865Z] Top recommended movies for user id 72:
[2026-02-15T20:48:12.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:48:12.865Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:48:12.865Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:48:12.865Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:48:12.865Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:48:12.865Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (52925.254 ms) ======
[2026-02-15T20:48:12.865Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-15T20:48:13.999Z] GC before operation: completed in 821.743 ms, heap usage 300.104 MB -> 90.289 MB.
[2026-02-15T20:48:22.794Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:48:30.046Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:48:38.854Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:48:46.050Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:48:50.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:48:56.546Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:49:01.221Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:49:05.906Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:49:07.030Z] 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.
[2026-02-15T20:49:07.030Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:49:07.727Z] Top recommended movies for user id 72:
[2026-02-15T20:49:07.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:49:07.727Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:49:07.727Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:49:07.727Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:49:07.727Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:49:07.727Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (53754.333 ms) ======
[2026-02-15T20:49:07.727Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-15T20:49:08.437Z] GC before operation: completed in 843.841 ms, heap usage 351.710 MB -> 90.317 MB.
[2026-02-15T20:49:17.347Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T20:49:24.526Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T20:49:33.378Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T20:49:40.538Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T20:49:45.210Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T20:49:49.884Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T20:49:54.731Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T20:50:00.544Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T20:50:00.864Z] 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.
[2026-02-15T20:50:00.864Z] The best model improves the baseline by 14.52%.
[2026-02-15T20:50:01.553Z] Top recommended movies for user id 72:
[2026-02-15T20:50:01.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T20:50:01.553Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T20:50:01.553Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T20:50:01.553Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T20:50:01.553Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T20:50:01.553Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (53132.337 ms) ======
[2026-02-15T20:50:05.273Z] -----------------------------------
[2026-02-15T20:50:05.273Z] renaissance-movie-lens_0_PASSED
[2026-02-15T20:50:05.273Z] -----------------------------------
[2026-02-15T20:50:05.273Z]
[2026-02-15T20:50:05.273Z] TEST TEARDOWN:
[2026-02-15T20:50:05.273Z] Nothing to be done for teardown.
[2026-02-15T20:50:05.273Z] renaissance-movie-lens_0 Finish Time: Sun Feb 15 20:50:04 2026 Epoch Time (ms): 1771188604839