[2026-04-02T01:55:14.308Z] Running test renaissance-movie-lens_0 ... [2026-04-02T01:55:14.308Z] =============================================== [2026-04-02T01:55:14.308Z] renaissance-movie-lens_0 Start Time: Thu Apr 2 01:55:13 2026 Epoch Time (ms): 1775094913674 [2026-04-02T01:55:14.308Z] variation: NoOptions [2026-04-02T01:55:14.308Z] JVM_OPTIONS: [2026-04-02T01:55:14.308Z] { \ [2026-04-02T01:55:14.308Z] echo ""; echo "TEST SETUP:"; \ [2026-04-02T01:55:14.308Z] echo "Nothing to be done for setup."; \ [2026-04-02T01:55:14.308Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1775092997766/renaissance-movie-lens_0"; \ [2026-04-02T01:55:14.308Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1775092997766/renaissance-movie-lens_0"; \ [2026-04-02T01:55:14.308Z] echo ""; echo "TESTING:"; \ [2026-04-02T01:55:14.308Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/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_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1775092997766/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-02T01:55:14.308Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1775092997766/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-02T01:55:14.308Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-02T01:55:14.308Z] echo "Nothing to be done for teardown."; \ [2026-04-02T01:55:14.308Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1775092997766/TestTargetResult"; [2026-04-02T01:55:14.308Z] [2026-04-02T01:55:14.308Z] TEST SETUP: [2026-04-02T01:55:14.308Z] Nothing to be done for setup. [2026-04-02T01:55:14.308Z] [2026-04-02T01:55:14.308Z] TESTING: [2026-04-02T01:55:28.272Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-02T01:55:53.243Z] 01:55:51.793 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. [2026-04-02T01:56:00.103Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-02T01:56:02.112Z] Training: 60056, validation: 20285, test: 19854 [2026-04-02T01:56:02.112Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-02T01:56:02.112Z] GC before operation: completed in 350.783 ms, heap usage 401.092 MB -> 75.895 MB. [2026-04-02T01:56:31.192Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T01:56:45.424Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T01:56:55.425Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T01:57:03.723Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T01:57:10.569Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T01:57:14.823Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T01:57:20.331Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T01:57:24.551Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T01:57:25.519Z] 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. [2026-04-02T01:57:25.519Z] The best model improves the baseline by 14.52%. [2026-04-02T01:57:26.492Z] Top recommended movies for user id 72: [2026-04-02T01:57:26.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T01:57:26.492Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T01:57:26.492Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T01:57:26.492Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T01:57:26.492Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T01:57:26.492Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (84089.740 ms) ====== [2026-04-02T01:57:26.492Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-02T01:57:26.492Z] GC before operation: completed in 399.310 ms, heap usage 236.123 MB -> 93.244 MB. [2026-04-02T01:57:36.416Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T01:57:43.990Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T01:57:50.962Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T01:57:59.237Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T01:58:03.468Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T01:58:07.715Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T01:58:11.963Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T01:58:16.231Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T01:58:17.205Z] 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. [2026-04-02T01:58:17.205Z] The best model improves the baseline by 14.52%. [2026-04-02T01:58:18.192Z] Top recommended movies for user id 72: [2026-04-02T01:58:18.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T01:58:18.192Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T01:58:18.192Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T01:58:18.192Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T01:58:18.192Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T01:58:18.192Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (50973.512 ms) ====== [2026-04-02T01:58:18.192Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-02T01:58:18.192Z] GC before operation: completed in 417.704 ms, heap usage 504.394 MB -> 88.867 MB. [2026-04-02T01:58:26.489Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T01:58:34.032Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T01:58:44.168Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T01:58:52.499Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T01:58:56.774Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T01:59:01.005Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T01:59:06.514Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T01:59:10.764Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T01:59:11.750Z] 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. [2026-04-02T01:59:11.750Z] The best model improves the baseline by 14.52%. [2026-04-02T01:59:11.750Z] Top recommended movies for user id 72: [2026-04-02T01:59:11.750Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T01:59:11.750Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T01:59:11.750Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T01:59:11.750Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T01:59:11.750Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T01:59:11.750Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (53655.719 ms) ====== [2026-04-02T01:59:11.750Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-02T01:59:12.728Z] GC before operation: completed in 423.584 ms, heap usage 348.920 MB -> 91.692 MB. [2026-04-02T01:59:22.740Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T01:59:31.164Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T01:59:37.434Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T01:59:44.344Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T01:59:49.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T01:59:54.103Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T01:59:58.356Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:00:02.603Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:00:03.590Z] 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. [2026-04-02T02:00:03.590Z] The best model improves the baseline by 14.52%. [2026-04-02T02:00:03.590Z] Top recommended movies for user id 72: [2026-04-02T02:00:03.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:00:03.590Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:00:03.590Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:00:03.591Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:00:03.591Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:00:03.591Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (51568.931 ms) ====== [2026-04-02T02:00:03.591Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-02T02:00:04.585Z] GC before operation: completed in 385.488 ms, heap usage 607.125 MB -> 95.772 MB. [2026-04-02T02:00:12.919Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:00:19.839Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:00:28.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:00:34.404Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:00:39.942Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:00:44.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:00:48.554Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:00:52.803Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:00:53.793Z] 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. [2026-04-02T02:00:53.793Z] The best model improves the baseline by 14.52%. [2026-04-02T02:00:54.775Z] Top recommended movies for user id 72: [2026-04-02T02:00:54.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:00:54.775Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:00:54.775Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:00:54.775Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:00:54.775Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:00:54.775Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (49965.739 ms) ====== [2026-04-02T02:00:54.775Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-02T02:00:54.775Z] GC before operation: completed in 347.210 ms, heap usage 293.630 MB -> 91.767 MB. [2026-04-02T02:01:04.768Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:01:13.149Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:01:19.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:01:26.853Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:01:31.533Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:01:35.769Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:01:41.288Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:01:45.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:01:45.750Z] 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. [2026-04-02T02:01:45.750Z] The best model improves the baseline by 14.52%. [2026-04-02T02:01:46.745Z] Top recommended movies for user id 72: [2026-04-02T02:01:46.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:01:46.745Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:01:46.745Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:01:46.745Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:01:46.745Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:01:46.745Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (51960.100 ms) ====== [2026-04-02T02:01:46.745Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-02T02:01:46.745Z] GC before operation: completed in 535.848 ms, heap usage 178.465 MB -> 94.290 MB. [2026-04-02T02:01:55.328Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:02:03.745Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:02:12.217Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:02:19.071Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:02:23.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:02:28.358Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:02:32.614Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:02:36.885Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:02:36.885Z] 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. [2026-04-02T02:02:37.886Z] The best model improves the baseline by 14.52%. [2026-04-02T02:02:37.886Z] Top recommended movies for user id 72: [2026-04-02T02:02:37.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:02:37.886Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:02:37.886Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:02:37.886Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:02:37.886Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:02:37.886Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (50675.838 ms) ====== [2026-04-02T02:02:37.886Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-02T02:02:37.886Z] GC before operation: completed in 368.630 ms, heap usage 286.863 MB -> 93.351 MB. [2026-04-02T02:02:44.757Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:02:51.601Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:02:58.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:03:05.286Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:03:09.538Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:03:13.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:03:18.062Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:03:21.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:03:22.147Z] 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. [2026-04-02T02:03:22.148Z] The best model improves the baseline by 14.52%. [2026-04-02T02:03:22.148Z] Top recommended movies for user id 72: [2026-04-02T02:03:22.148Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:03:22.148Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:03:22.148Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:03:22.148Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:03:22.148Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:03:22.148Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (44249.076 ms) ====== [2026-04-02T02:03:22.148Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-02T02:03:23.834Z] GC before operation: completed in 324.698 ms, heap usage 677.326 MB -> 93.766 MB. [2026-04-02T02:03:30.890Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:03:37.720Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:03:44.534Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:03:50.058Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:03:54.327Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:03:57.407Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:04:01.647Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:04:05.893Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:04:05.893Z] 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. [2026-04-02T02:04:06.867Z] The best model improves the baseline by 14.52%. [2026-04-02T02:04:06.867Z] Top recommended movies for user id 72: [2026-04-02T02:04:06.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:04:06.867Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:04:06.867Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:04:06.867Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:04:06.867Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:04:06.867Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (44131.930 ms) ====== [2026-04-02T02:04:06.867Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-02T02:04:07.840Z] GC before operation: completed in 404.403 ms, heap usage 226.807 MB -> 89.761 MB. [2026-04-02T02:04:14.669Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:04:20.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:04:27.675Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:04:33.172Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:04:37.413Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:04:41.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:04:44.741Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:04:47.814Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:04:48.780Z] 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. [2026-04-02T02:04:48.780Z] The best model improves the baseline by 14.52%. [2026-04-02T02:04:48.780Z] Top recommended movies for user id 72: [2026-04-02T02:04:48.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:04:48.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:04:48.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:04:48.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:04:48.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:04:48.780Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (41732.315 ms) ====== [2026-04-02T02:04:48.780Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-02T02:04:49.755Z] GC before operation: completed in 221.476 ms, heap usage 491.533 MB -> 90.378 MB. [2026-04-02T02:04:53.984Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:05:00.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:05:05.043Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:05:10.496Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:05:13.566Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:05:16.280Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:05:19.377Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:05:22.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:05:23.415Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T02:05:23.415Z] The best model improves the baseline by 14.52%. [2026-04-02T02:05:23.415Z] Top recommended movies for user id 72: [2026-04-02T02:05:23.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:05:23.415Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:05:23.415Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:05:23.415Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:05:23.415Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:05:23.415Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (34362.517 ms) ====== [2026-04-02T02:05:23.415Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-02T02:05:24.392Z] GC before operation: completed in 286.171 ms, heap usage 373.172 MB -> 90.034 MB. [2026-04-02T02:05:29.871Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:05:36.719Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:05:43.560Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:05:49.061Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:05:53.316Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:05:56.413Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:06:00.656Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:06:03.739Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:06:04.702Z] 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. [2026-04-02T02:06:04.702Z] The best model improves the baseline by 14.52%. [2026-04-02T02:06:04.702Z] Top recommended movies for user id 72: [2026-04-02T02:06:04.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:06:04.702Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:06:04.702Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:06:04.702Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:06:04.702Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:06:04.702Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (41132.538 ms) ====== [2026-04-02T02:06:04.702Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-02T02:06:05.727Z] GC before operation: completed in 250.894 ms, heap usage 169.033 MB -> 91.167 MB. [2026-04-02T02:06:11.909Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:06:17.388Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:06:24.222Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:06:31.073Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:06:35.349Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:06:39.642Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:06:43.896Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:06:48.218Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:06:48.218Z] 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. [2026-04-02T02:06:48.218Z] The best model improves the baseline by 14.52%. [2026-04-02T02:06:49.186Z] Top recommended movies for user id 72: [2026-04-02T02:06:49.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:06:49.186Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:06:49.186Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:06:49.186Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:06:49.186Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:06:49.186Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (43602.296 ms) ====== [2026-04-02T02:06:49.186Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-02T02:06:49.186Z] GC before operation: completed in 339.006 ms, heap usage 146.269 MB -> 93.205 MB. [2026-04-02T02:06:56.025Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:07:01.493Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:07:09.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:07:14.491Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:07:17.588Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:07:21.825Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:07:24.912Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:07:27.976Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:07:28.955Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T02:07:28.955Z] The best model improves the baseline by 14.52%. [2026-04-02T02:07:28.955Z] Top recommended movies for user id 72: [2026-04-02T02:07:28.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:07:28.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:07:28.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:07:28.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:07:28.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:07:28.955Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (39688.400 ms) ====== [2026-04-02T02:07:28.955Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-02T02:07:28.955Z] GC before operation: completed in 392.098 ms, heap usage 114.402 MB -> 92.926 MB. [2026-04-02T02:07:35.772Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:07:41.211Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:07:45.492Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:07:50.946Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:07:52.949Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:07:56.025Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:07:59.096Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:08:01.815Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:08:02.788Z] 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. [2026-04-02T02:08:02.788Z] The best model improves the baseline by 14.52%. [2026-04-02T02:08:02.788Z] Top recommended movies for user id 72: [2026-04-02T02:08:02.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:08:02.788Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:08:02.788Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:08:02.788Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:08:02.788Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:08:02.788Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (33816.944 ms) ====== [2026-04-02T02:08:02.788Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-02T02:08:03.767Z] GC before operation: completed in 241.075 ms, heap usage 451.918 MB -> 92.670 MB. [2026-04-02T02:08:10.588Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:08:14.810Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:08:20.296Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:08:25.814Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:08:29.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:08:31.067Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:08:34.126Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:08:36.109Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:08:37.085Z] 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. [2026-04-02T02:08:37.085Z] The best model improves the baseline by 14.52%. [2026-04-02T02:08:37.085Z] Top recommended movies for user id 72: [2026-04-02T02:08:37.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:08:37.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:08:37.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:08:37.085Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:08:37.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:08:37.085Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (33807.364 ms) ====== [2026-04-02T02:08:37.085Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-02T02:08:37.085Z] GC before operation: completed in 272.691 ms, heap usage 369.522 MB -> 94.887 MB. [2026-04-02T02:08:42.537Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:08:45.591Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:08:51.083Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:08:56.035Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:08:58.010Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:09:00.010Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:09:03.056Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:09:05.127Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:09:06.095Z] 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. [2026-04-02T02:09:06.095Z] The best model improves the baseline by 14.52%. [2026-04-02T02:09:06.095Z] Top recommended movies for user id 72: [2026-04-02T02:09:06.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:09:06.095Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:09:06.095Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:09:06.095Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:09:06.095Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:09:06.095Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (28504.017 ms) ====== [2026-04-02T02:09:06.095Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-02T02:09:06.095Z] GC before operation: completed in 362.718 ms, heap usage 453.174 MB -> 90.371 MB. [2026-04-02T02:09:11.561Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:09:17.120Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:09:21.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:09:25.562Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:09:27.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:09:30.623Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:09:33.696Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:09:36.801Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:09:36.801Z] 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. [2026-04-02T02:09:36.801Z] The best model improves the baseline by 14.52%. [2026-04-02T02:09:36.801Z] Top recommended movies for user id 72: [2026-04-02T02:09:36.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:09:36.801Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:09:36.801Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:09:36.801Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:09:36.801Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:09:36.801Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (30699.386 ms) ====== [2026-04-02T02:09:36.801Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-02T02:09:37.770Z] GC before operation: completed in 257.312 ms, heap usage 180.436 MB -> 95.570 MB. [2026-04-02T02:09:41.977Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:09:46.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:09:49.968Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:09:54.170Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:09:57.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:10:00.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:10:03.385Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:10:06.473Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:10:07.448Z] 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. [2026-04-02T02:10:07.448Z] The best model improves the baseline by 14.52%. [2026-04-02T02:10:07.448Z] Top recommended movies for user id 72: [2026-04-02T02:10:07.448Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:10:07.448Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:10:07.448Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:10:07.448Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:10:07.448Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:10:07.448Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (30138.936 ms) ====== [2026-04-02T02:10:07.448Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-02T02:10:07.448Z] GC before operation: completed in 353.803 ms, heap usage 561.530 MB -> 98.416 MB. [2026-04-02T02:10:14.251Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T02:10:18.455Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T02:10:21.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T02:10:25.714Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T02:10:28.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T02:10:31.885Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T02:10:34.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T02:10:39.219Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T02:10:39.219Z] 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. [2026-04-02T02:10:39.219Z] The best model improves the baseline by 14.52%. [2026-04-02T02:10:40.191Z] Top recommended movies for user id 72: [2026-04-02T02:10:40.191Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T02:10:40.191Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T02:10:40.191Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T02:10:40.191Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T02:10:40.191Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T02:10:40.191Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (32240.774 ms) ====== [2026-04-02T02:10:42.171Z] ----------------------------------- [2026-04-02T02:10:42.171Z] renaissance-movie-lens_0_PASSED [2026-04-02T02:10:42.171Z] ----------------------------------- [2026-04-02T02:10:42.171Z] [2026-04-02T02:10:42.171Z] TEST TEARDOWN: [2026-04-02T02:10:42.171Z] Nothing to be done for teardown. [2026-04-02T02:10:42.171Z] renaissance-movie-lens_0 Finish Time: Thu Apr 2 02:10:41 2026 Epoch Time (ms): 1775095841521