[2026-03-05T22:51:47.789Z] Running test renaissance-movie-lens_0 ... [2026-03-05T22:51:47.789Z] =============================================== [2026-03-05T22:51:47.789Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 22:51:46 2026 Epoch Time (ms): 1772751106641 [2026-03-05T22:51:47.789Z] variation: NoOptions [2026-03-05T22:51:47.789Z] JVM_OPTIONS: [2026-03-05T22:51:47.789Z] { \ [2026-03-05T22:51:47.789Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T22:51:47.789Z] echo "Nothing to be done for setup."; \ [2026-03-05T22:51:47.789Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17727494349955/renaissance-movie-lens_0"; \ [2026-03-05T22:51:47.789Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17727494349955/renaissance-movie-lens_0"; \ [2026-03-05T22:51:47.789Z] echo ""; echo "TESTING:"; \ [2026-03-05T22:51:47.789Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17727494349955/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T22:51:47.789Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17727494349955/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T22:51:47.789Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T22:51:47.789Z] echo "Nothing to be done for teardown."; \ [2026-03-05T22:51:47.789Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17727494349955/TestTargetResult"; [2026-03-05T22:51:47.789Z] [2026-03-05T22:51:47.789Z] TEST SETUP: [2026-03-05T22:51:47.789Z] Nothing to be done for setup. [2026-03-05T22:51:47.789Z] [2026-03-05T22:51:47.789Z] TESTING: [2026-03-05T22:51:47.789Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-05T22:51:47.789Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17727494349955/renaissance-movie-lens_0/launcher-225146-9011059943039241292/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-05T22:51:47.789Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-05T22:51:47.789Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-05T22:51:57.556Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-05T22:52:09.185Z] 22:52:07.611 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. [2026-03-05T22:52:11.149Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T22:52:12.115Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T22:52:12.115Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T22:52:12.115Z] GC before operation: completed in 167.195 ms, heap usage 196.203 MB -> 75.949 MB. [2026-03-05T22:52:22.668Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:52:25.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:52:31.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:52:35.298Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:52:38.381Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:52:40.356Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:52:43.389Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:52:45.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:52:46.311Z] 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. [2026-03-05T22:52:46.311Z] The best model improves the baseline by 14.52%. [2026-03-05T22:52:46.311Z] Top recommended movies for user id 72: [2026-03-05T22:52:46.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:52:46.311Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:52:46.311Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:52:46.311Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:52:46.311Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:52:46.311Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34314.373 ms) ====== [2026-03-05T22:52:46.311Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T22:52:46.311Z] GC before operation: completed in 184.154 ms, heap usage 403.236 MB -> 86.709 MB. [2026-03-05T22:52:51.704Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:52:55.908Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:53:00.094Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:53:03.168Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:53:05.141Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:53:07.108Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:53:10.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:53:12.116Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:53:13.074Z] 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. [2026-03-05T22:53:13.074Z] The best model improves the baseline by 14.52%. [2026-03-05T22:53:13.074Z] Top recommended movies for user id 72: [2026-03-05T22:53:13.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:53:13.074Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:53:13.074Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:53:13.074Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:53:13.074Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:53:13.074Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26332.247 ms) ====== [2026-03-05T22:53:13.074Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T22:53:13.074Z] GC before operation: completed in 181.317 ms, heap usage 592.723 MB -> 92.329 MB. [2026-03-05T22:53:17.258Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:53:21.437Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:53:25.040Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:53:28.077Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:53:30.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:53:32.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:53:33.978Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:53:35.944Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:53:36.908Z] 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. [2026-03-05T22:53:36.908Z] The best model improves the baseline by 14.52%. [2026-03-05T22:53:36.908Z] Top recommended movies for user id 72: [2026-03-05T22:53:36.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:53:36.908Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:53:36.908Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:53:36.908Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:53:36.908Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:53:36.908Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23893.698 ms) ====== [2026-03-05T22:53:36.908Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T22:53:36.908Z] GC before operation: completed in 175.769 ms, heap usage 237.044 MB -> 89.164 MB. [2026-03-05T22:53:41.083Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:53:44.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:53:48.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:53:51.345Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:53:54.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:53:56.360Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:54:01.617Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:54:01.617Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:54:01.617Z] 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. [2026-03-05T22:54:01.617Z] The best model improves the baseline by 14.52%. [2026-03-05T22:54:01.617Z] Top recommended movies for user id 72: [2026-03-05T22:54:01.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:54:01.617Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:54:01.617Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:54:01.617Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:54:01.617Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:54:01.617Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24453.557 ms) ====== [2026-03-05T22:54:01.617Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T22:54:01.617Z] GC before operation: completed in 171.026 ms, heap usage 205.818 MB -> 89.472 MB. [2026-03-05T22:54:06.068Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:54:09.100Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:54:13.278Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:54:16.315Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:54:19.354Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:54:21.334Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:54:23.297Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:54:25.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:54:26.256Z] 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. [2026-03-05T22:54:26.256Z] The best model improves the baseline by 14.52%. [2026-03-05T22:54:26.256Z] Top recommended movies for user id 72: [2026-03-05T22:54:26.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:54:26.256Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:54:26.256Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:54:26.256Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:54:26.256Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:54:26.256Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24683.388 ms) ====== [2026-03-05T22:54:26.256Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T22:54:26.256Z] GC before operation: completed in 170.071 ms, heap usage 93.725 MB -> 89.774 MB. [2026-03-05T22:54:31.146Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:54:34.181Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:54:37.218Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:54:40.256Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:54:42.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:54:44.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:54:46.159Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:54:48.129Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:54:48.129Z] 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. [2026-03-05T22:54:49.085Z] The best model improves the baseline by 14.52%. [2026-03-05T22:54:49.085Z] Top recommended movies for user id 72: [2026-03-05T22:54:49.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:54:49.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:54:49.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:54:49.085Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:54:49.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:54:49.085Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22249.082 ms) ====== [2026-03-05T22:54:49.085Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T22:54:49.085Z] GC before operation: completed in 176.568 ms, heap usage 226.276 MB -> 89.729 MB. [2026-03-05T22:54:52.122Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:54:56.316Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:55:00.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:55:03.530Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:55:05.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:55:07.465Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:55:09.434Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:55:11.399Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:55:12.358Z] 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. [2026-03-05T22:55:12.358Z] The best model improves the baseline by 14.52%. [2026-03-05T22:55:12.358Z] Top recommended movies for user id 72: [2026-03-05T22:55:12.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:55:12.358Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:55:12.358Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:55:12.358Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:55:12.358Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:55:12.358Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23195.431 ms) ====== [2026-03-05T22:55:12.358Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T22:55:12.358Z] GC before operation: completed in 175.036 ms, heap usage 576.886 MB -> 93.425 MB. [2026-03-05T22:55:16.537Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:55:19.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:55:22.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:55:25.844Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:55:27.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:55:29.785Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:55:33.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:55:34.480Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:55:34.480Z] 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. [2026-03-05T22:55:34.480Z] The best model improves the baseline by 14.52%. [2026-03-05T22:55:34.480Z] Top recommended movies for user id 72: [2026-03-05T22:55:34.480Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:55:34.480Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:55:34.480Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:55:34.480Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:55:34.480Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:55:34.480Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22445.050 ms) ====== [2026-03-05T22:55:34.480Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T22:55:35.502Z] GC before operation: completed in 177.853 ms, heap usage 122.954 MB -> 92.858 MB. [2026-03-05T22:55:38.540Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:55:41.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:55:44.616Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:55:48.802Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:55:50.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:55:52.750Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:55:54.721Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:55:56.684Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:55:56.684Z] 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. [2026-03-05T22:55:56.684Z] The best model improves the baseline by 14.52%. [2026-03-05T22:55:57.663Z] Top recommended movies for user id 72: [2026-03-05T22:55:57.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:55:57.663Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:55:57.663Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:55:57.663Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:55:57.663Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:55:57.663Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22205.591 ms) ====== [2026-03-05T22:55:57.663Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T22:55:57.663Z] GC before operation: completed in 188.344 ms, heap usage 333.566 MB -> 89.970 MB. [2026-03-05T22:56:00.752Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:56:03.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:56:07.964Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:56:11.060Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:56:13.031Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:56:14.996Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:56:16.966Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:56:18.928Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:56:19.913Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T22:56:19.913Z] The best model improves the baseline by 14.52%. [2026-03-05T22:56:19.913Z] Top recommended movies for user id 72: [2026-03-05T22:56:19.913Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:56:19.913Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:56:19.913Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:56:19.913Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:56:19.913Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:56:19.913Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22185.451 ms) ====== [2026-03-05T22:56:19.913Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T22:56:19.913Z] GC before operation: completed in 165.803 ms, heap usage 229.616 MB -> 90.004 MB. [2026-03-05T22:56:22.948Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:56:27.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:56:30.177Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:56:33.217Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:56:35.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:56:37.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:56:39.860Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:56:41.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:56:41.825Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T22:56:41.825Z] The best model improves the baseline by 14.52%. [2026-03-05T22:56:41.825Z] Top recommended movies for user id 72: [2026-03-05T22:56:41.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:56:41.825Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:56:41.825Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:56:41.825Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:56:41.825Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:56:41.825Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22422.713 ms) ====== [2026-03-05T22:56:41.825Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T22:56:42.815Z] GC before operation: completed in 170.307 ms, heap usage 192.248 MB -> 89.692 MB. [2026-03-05T22:56:45.850Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:56:48.889Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:56:53.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:56:56.137Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:56:58.101Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:57:00.074Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:57:02.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:57:04.009Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:57:04.010Z] 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. [2026-03-05T22:57:04.010Z] The best model improves the baseline by 14.52%. [2026-03-05T22:57:04.968Z] Top recommended movies for user id 72: [2026-03-05T22:57:04.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:57:04.968Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:57:04.968Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:57:04.968Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:57:04.968Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:57:04.968Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22166.001 ms) ====== [2026-03-05T22:57:04.968Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T22:57:04.968Z] GC before operation: completed in 167.733 ms, heap usage 408.021 MB -> 90.221 MB. [2026-03-05T22:57:08.000Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:57:12.179Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:57:15.212Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:57:18.245Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:57:20.257Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:57:22.231Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:57:24.291Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:57:26.256Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:57:27.212Z] 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. [2026-03-05T22:57:27.212Z] The best model improves the baseline by 14.52%. [2026-03-05T22:57:27.212Z] Top recommended movies for user id 72: [2026-03-05T22:57:27.212Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:57:27.212Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:57:27.212Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:57:27.212Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:57:27.212Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:57:27.212Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22480.787 ms) ====== [2026-03-05T22:57:27.212Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T22:57:27.212Z] GC before operation: completed in 170.029 ms, heap usage 297.407 MB -> 90.147 MB. [2026-03-05T22:57:31.388Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:57:34.421Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:57:37.483Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:57:41.035Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:57:43.001Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:57:44.967Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:57:46.934Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:57:48.903Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:57:49.863Z] 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. [2026-03-05T22:57:49.863Z] The best model improves the baseline by 14.52%. [2026-03-05T22:57:49.863Z] Top recommended movies for user id 72: [2026-03-05T22:57:49.863Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:57:49.863Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:57:49.863Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:57:49.863Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:57:49.863Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:57:49.863Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22290.701 ms) ====== [2026-03-05T22:57:49.863Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T22:57:49.863Z] GC before operation: completed in 166.909 ms, heap usage 150.060 MB -> 89.867 MB. [2026-03-05T22:57:54.074Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:57:57.108Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:58:00.140Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:58:03.172Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:58:05.142Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:58:07.114Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:58:09.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:58:12.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:58:12.114Z] 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. [2026-03-05T22:58:12.114Z] The best model improves the baseline by 14.52%. [2026-03-05T22:58:12.114Z] Top recommended movies for user id 72: [2026-03-05T22:58:12.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:58:12.114Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:58:12.114Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:58:12.114Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:58:12.114Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:58:12.114Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22246.601 ms) ====== [2026-03-05T22:58:12.114Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T22:58:12.114Z] GC before operation: completed in 168.054 ms, heap usage 405.587 MB -> 90.374 MB. [2026-03-05T22:58:16.317Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:58:19.347Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:58:22.374Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:58:25.424Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:58:27.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:58:29.376Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:58:32.408Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:58:34.378Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:58:34.378Z] 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. [2026-03-05T22:58:34.378Z] The best model improves the baseline by 14.52%. [2026-03-05T22:58:34.378Z] Top recommended movies for user id 72: [2026-03-05T22:58:34.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:58:34.378Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:58:34.378Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:58:34.378Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:58:34.378Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:58:34.378Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22236.523 ms) ====== [2026-03-05T22:58:34.378Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T22:58:34.378Z] GC before operation: completed in 175.953 ms, heap usage 188.878 MB -> 89.991 MB. [2026-03-05T22:58:38.552Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:58:41.922Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:58:43.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:58:46.932Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:58:48.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:58:50.860Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:58:52.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:58:54.830Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:58:54.830Z] 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. [2026-03-05T22:58:54.830Z] The best model improves the baseline by 14.52%. [2026-03-05T22:58:54.830Z] Top recommended movies for user id 72: [2026-03-05T22:58:54.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:58:54.830Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:58:54.830Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:58:54.830Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:58:54.830Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:58:54.830Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20490.457 ms) ====== [2026-03-05T22:58:54.830Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T22:58:55.783Z] GC before operation: completed in 167.008 ms, heap usage 333.339 MB -> 90.244 MB. [2026-03-05T22:58:58.817Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:59:01.849Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:59:05.115Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:59:10.649Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:59:10.649Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:59:12.632Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:59:14.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:59:16.572Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:59:17.529Z] 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. [2026-03-05T22:59:17.529Z] The best model improves the baseline by 14.52%. [2026-03-05T22:59:17.529Z] Top recommended movies for user id 72: [2026-03-05T22:59:17.529Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:59:17.529Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:59:17.529Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:59:17.529Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:59:17.529Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:59:17.529Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21935.369 ms) ====== [2026-03-05T22:59:17.529Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T22:59:17.529Z] GC before operation: completed in 184.125 ms, heap usage 451.734 MB -> 90.308 MB. [2026-03-05T22:59:20.568Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:59:24.888Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:59:27.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:59:30.956Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:59:32.924Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:59:34.894Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:59:36.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:59:38.837Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:59:38.837Z] 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. [2026-03-05T22:59:38.837Z] The best model improves the baseline by 14.52%. [2026-03-05T22:59:44.660Z] Top recommended movies for user id 72: [2026-03-05T22:59:44.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:59:44.660Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:59:44.660Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:59:44.660Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:59:44.660Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:59:44.660Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21879.093 ms) ====== [2026-03-05T22:59:44.660Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T22:59:44.660Z] GC before operation: completed in 173.396 ms, heap usage 460.552 MB -> 90.405 MB. [2026-03-05T22:59:58.951Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:59:58.951Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:59:58.951Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:59:58.951Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:59:58.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:59:58.951Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:00:18.378Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:00:18.378Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:00:18.379Z] 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. [2026-03-05T23:00:18.379Z] The best model improves the baseline by 14.52%. [2026-03-05T23:00:18.379Z] Top recommended movies for user id 72: [2026-03-05T23:00:18.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:00:18.379Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:00:18.379Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:00:18.379Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:00:18.379Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:00:18.379Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21606.368 ms) ====== [2026-03-05T23:00:18.379Z] ----------------------------------- [2026-03-05T23:00:18.379Z] renaissance-movie-lens_0_PASSED [2026-03-05T23:00:18.379Z] ----------------------------------- [2026-03-05T23:00:18.379Z] [2026-03-05T23:00:18.379Z] TEST TEARDOWN: [2026-03-05T23:00:18.379Z] Nothing to be done for teardown. [2026-03-05T23:00:18.379Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 23:00:01 2026 Epoch Time (ms): 1772751601950