[2026-01-24T13:24:37.728Z] Running test renaissance-movie-lens_0 ... [2026-01-24T13:24:37.728Z] =============================================== [2026-01-24T13:24:37.728Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 13:24:37 2026 Epoch Time (ms): 1769261077559 [2026-01-24T13:24:37.728Z] variation: NoOptions [2026-01-24T13:24:37.728Z] JVM_OPTIONS: [2026-01-24T13:24:37.728Z] { \ [2026-01-24T13:24:37.728Z] echo ""; echo "TEST SETUP:"; \ [2026-01-24T13:24:37.728Z] echo "Nothing to be done for setup."; \ [2026-01-24T13:24:37.728Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17692597959639/renaissance-movie-lens_0"; \ [2026-01-24T13:24:37.728Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17692597959639/renaissance-movie-lens_0"; \ [2026-01-24T13:24:37.728Z] echo ""; echo "TESTING:"; \ [2026-01-24T13:24:37.729Z] "/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_17692597959639/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-24T13:24:37.729Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17692597959639/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-24T13:24:37.729Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-24T13:24:37.729Z] echo "Nothing to be done for teardown."; \ [2026-01-24T13:24:37.729Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17692597959639/TestTargetResult"; [2026-01-24T13:24:37.729Z] [2026-01-24T13:24:37.729Z] TEST SETUP: [2026-01-24T13:24:37.729Z] Nothing to be done for setup. [2026-01-24T13:24:37.729Z] [2026-01-24T13:24:37.729Z] TESTING: [2026-01-24T13:24:38.485Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-24T13:24:38.486Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17692597959639/renaissance-movie-lens_0/launcher-132437-5534922892066933355/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-24T13:24:38.486Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-24T13:24:38.486Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-24T13:24:46.112Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-24T13:24:55.347Z] 13:24:54.959 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. [2026-01-24T13:24:58.577Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-24T13:24:58.955Z] Training: 60056, validation: 20285, test: 19854 [2026-01-24T13:24:58.955Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-24T13:24:58.955Z] GC before operation: completed in 141.546 ms, heap usage 131.656 MB -> 75.600 MB. [2026-01-24T13:25:08.351Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:25:12.486Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:25:17.550Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:25:20.707Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:25:23.161Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:25:24.954Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:25:27.352Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:25:29.826Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:25:29.826Z] 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. [2026-01-24T13:25:29.826Z] The best model improves the baseline by 14.52%. [2026-01-24T13:25:30.196Z] Top recommended movies for user id 72: [2026-01-24T13:25:30.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:25:30.197Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:25:30.197Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:25:30.197Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:25:30.197Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:25:30.197Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31137.735 ms) ====== [2026-01-24T13:25:30.197Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-24T13:25:30.197Z] GC before operation: completed in 153.736 ms, heap usage 512.071 MB -> 91.541 MB. [2026-01-24T13:25:34.221Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:25:37.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:25:41.528Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:25:44.666Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:25:46.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:25:48.938Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:25:51.432Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:25:53.237Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:25:53.600Z] 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. [2026-01-24T13:25:53.600Z] The best model improves the baseline by 14.52%. [2026-01-24T13:25:53.961Z] Top recommended movies for user id 72: [2026-01-24T13:25:53.961Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:25:53.961Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:25:53.961Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:25:53.961Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:25:53.961Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:25:53.961Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23643.029 ms) ====== [2026-01-24T13:25:53.961Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-24T13:25:54.318Z] GC before operation: completed in 158.025 ms, heap usage 152.189 MB -> 88.190 MB. [2026-01-24T13:25:57.499Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:26:01.573Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:26:04.815Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:26:07.994Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:26:09.822Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:26:11.618Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:26:13.483Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:26:15.902Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:26:15.902Z] 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. [2026-01-24T13:26:15.902Z] The best model improves the baseline by 14.52%. [2026-01-24T13:26:16.257Z] Top recommended movies for user id 72: [2026-01-24T13:26:16.257Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:26:16.257Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:26:16.257Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:26:16.257Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:26:16.257Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:26:16.257Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22058.127 ms) ====== [2026-01-24T13:26:16.257Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-24T13:26:16.257Z] GC before operation: completed in 145.153 ms, heap usage 417.713 MB -> 89.268 MB. [2026-01-24T13:26:19.389Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:26:22.584Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:26:25.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:26:29.003Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:26:31.425Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:26:33.467Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:26:35.328Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:26:37.145Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:26:37.512Z] 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. [2026-01-24T13:26:37.512Z] The best model improves the baseline by 14.52%. [2026-01-24T13:26:37.873Z] Top recommended movies for user id 72: [2026-01-24T13:26:37.873Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:26:37.873Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:26:37.873Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:26:37.873Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:26:37.873Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:26:37.873Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21463.313 ms) ====== [2026-01-24T13:26:37.873Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-24T13:26:37.873Z] GC before operation: completed in 150.875 ms, heap usage 102.376 MB -> 89.406 MB. [2026-01-24T13:26:41.010Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:26:44.146Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:26:47.300Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:26:50.529Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:26:52.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:26:54.153Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:26:56.069Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:26:57.927Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:26:58.358Z] 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. [2026-01-24T13:26:58.358Z] The best model improves the baseline by 14.52%. [2026-01-24T13:26:58.358Z] Top recommended movies for user id 72: [2026-01-24T13:26:58.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:26:58.358Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:26:58.358Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:26:58.358Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:26:58.358Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:26:58.358Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20456.091 ms) ====== [2026-01-24T13:26:58.358Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-24T13:26:58.712Z] GC before operation: completed in 148.361 ms, heap usage 490.317 MB -> 89.647 MB. [2026-01-24T13:27:01.912Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:27:05.052Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:27:08.185Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:27:11.326Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:27:13.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:27:15.032Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:27:16.834Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:27:18.631Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:27:19.007Z] 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. [2026-01-24T13:27:19.008Z] The best model improves the baseline by 14.52%. [2026-01-24T13:27:19.365Z] Top recommended movies for user id 72: [2026-01-24T13:27:19.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:27:19.365Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:27:19.365Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:27:19.365Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:27:19.365Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:27:19.365Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20726.567 ms) ====== [2026-01-24T13:27:19.365Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-24T13:27:19.365Z] GC before operation: completed in 147.282 ms, heap usage 382.468 MB -> 89.841 MB. [2026-01-24T13:27:22.647Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:27:25.794Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:27:29.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:27:31.477Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:27:33.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:27:35.748Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:27:37.567Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:27:39.415Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:27:39.415Z] 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. [2026-01-24T13:27:39.415Z] The best model improves the baseline by 14.52%. [2026-01-24T13:27:39.778Z] Top recommended movies for user id 72: [2026-01-24T13:27:39.778Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:27:39.778Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:27:39.778Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:27:39.778Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:27:39.778Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:27:39.778Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20370.732 ms) ====== [2026-01-24T13:27:39.778Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-24T13:27:40.150Z] GC before operation: completed in 153.419 ms, heap usage 202.196 MB -> 89.557 MB. [2026-01-24T13:27:43.305Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:27:45.734Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:27:49.031Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:27:52.214Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:27:54.037Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:27:55.862Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:27:57.721Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:27:59.538Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:27:59.538Z] 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. [2026-01-24T13:27:59.538Z] The best model improves the baseline by 14.52%. [2026-01-24T13:27:59.912Z] Top recommended movies for user id 72: [2026-01-24T13:27:59.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:27:59.912Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:27:59.912Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:27:59.912Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:27:59.912Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:27:59.912Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19930.783 ms) ====== [2026-01-24T13:27:59.912Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-24T13:27:59.912Z] GC before operation: completed in 150.564 ms, heap usage 296.025 MB -> 89.907 MB. [2026-01-24T13:28:03.055Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:28:06.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:28:09.396Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:28:11.820Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:28:13.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:28:15.492Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:28:17.336Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:28:19.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:28:19.914Z] 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. [2026-01-24T13:28:19.914Z] The best model improves the baseline by 14.52%. [2026-01-24T13:28:19.914Z] Top recommended movies for user id 72: [2026-01-24T13:28:19.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:28:19.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:28:19.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:28:19.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:28:19.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:28:19.914Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19927.299 ms) ====== [2026-01-24T13:28:19.914Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-24T13:28:20.303Z] GC before operation: completed in 148.050 ms, heap usage 146.969 MB -> 89.493 MB. [2026-01-24T13:28:23.523Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:28:25.979Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:28:28.456Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:28:31.605Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:28:32.842Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:28:34.637Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:28:36.469Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:28:38.297Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:28:38.297Z] 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. [2026-01-24T13:28:38.297Z] The best model improves the baseline by 14.52%. [2026-01-24T13:28:38.677Z] Top recommended movies for user id 72: [2026-01-24T13:28:38.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:28:38.677Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:28:38.677Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:28:38.677Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:28:38.677Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:28:38.677Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18419.360 ms) ====== [2026-01-24T13:28:38.677Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-24T13:28:38.677Z] GC before operation: completed in 152.617 ms, heap usage 692.300 MB -> 93.700 MB. [2026-01-24T13:28:41.834Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:28:44.298Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:28:47.477Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:28:50.631Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:28:52.448Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:28:54.281Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:28:56.068Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:28:57.896Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:28:58.265Z] 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. [2026-01-24T13:28:58.265Z] The best model improves the baseline by 14.52%. [2026-01-24T13:28:58.619Z] Top recommended movies for user id 72: [2026-01-24T13:28:58.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:28:58.619Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:28:58.619Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:28:58.619Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:28:58.619Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:28:58.619Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19890.370 ms) ====== [2026-01-24T13:28:58.619Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-24T13:28:58.619Z] GC before operation: completed in 152.174 ms, heap usage 295.550 MB -> 89.665 MB. [2026-01-24T13:29:01.899Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:29:04.347Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:29:07.546Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:29:10.002Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:29:11.259Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:29:13.070Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:29:14.921Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:29:16.745Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:29:17.141Z] 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. [2026-01-24T13:29:17.141Z] The best model improves the baseline by 14.52%. [2026-01-24T13:29:17.514Z] Top recommended movies for user id 72: [2026-01-24T13:29:17.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:29:17.514Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:29:17.514Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:29:17.514Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:29:17.514Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:29:17.514Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18594.113 ms) ====== [2026-01-24T13:29:17.514Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-24T13:29:17.514Z] GC before operation: completed in 148.115 ms, heap usage 412.406 MB -> 89.976 MB. [2026-01-24T13:29:20.714Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:29:23.163Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:29:26.360Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:29:29.607Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:29:30.849Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:29:33.284Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:29:35.111Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:29:36.919Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:29:36.919Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T13:29:37.286Z] The best model improves the baseline by 14.52%. [2026-01-24T13:29:37.286Z] Top recommended movies for user id 72: [2026-01-24T13:29:37.286Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:29:37.286Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:29:37.286Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:29:37.286Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:29:37.286Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:29:37.286Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19839.171 ms) ====== [2026-01-24T13:29:37.286Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-24T13:29:37.642Z] GC before operation: completed in 151.280 ms, heap usage 121.567 MB -> 91.541 MB. [2026-01-24T13:29:40.812Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:29:43.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:29:47.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:29:49.617Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:29:51.490Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:29:53.299Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:29:55.104Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:29:57.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:29:57.544Z] 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. [2026-01-24T13:29:57.544Z] The best model improves the baseline by 14.52%. [2026-01-24T13:29:57.544Z] Top recommended movies for user id 72: [2026-01-24T13:29:57.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:29:57.544Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:29:57.544Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:29:57.544Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:29:57.544Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:29:57.544Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20146.198 ms) ====== [2026-01-24T13:29:57.544Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-24T13:29:57.919Z] GC before operation: completed in 148.300 ms, heap usage 376.048 MB -> 90.008 MB. [2026-01-24T13:30:01.127Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:30:03.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:30:06.236Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:30:08.659Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:30:10.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:30:12.306Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:30:14.106Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:30:15.927Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:30:15.927Z] 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. [2026-01-24T13:30:16.296Z] The best model improves the baseline by 14.52%. [2026-01-24T13:30:16.297Z] Top recommended movies for user id 72: [2026-01-24T13:30:16.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:30:16.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:30:16.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:30:16.297Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:30:16.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:30:16.297Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18526.846 ms) ====== [2026-01-24T13:30:16.297Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-24T13:30:16.297Z] GC before operation: completed in 156.074 ms, heap usage 526.695 MB -> 90.422 MB. [2026-01-24T13:30:19.617Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:30:22.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:30:24.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:30:27.686Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:30:28.927Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:30:30.741Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:30:33.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:30:34.472Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:30:34.843Z] 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. [2026-01-24T13:30:34.843Z] The best model improves the baseline by 14.52%. [2026-01-24T13:30:35.196Z] Top recommended movies for user id 72: [2026-01-24T13:30:35.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:30:35.196Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:30:35.196Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:30:35.196Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:30:35.196Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:30:35.196Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18712.834 ms) ====== [2026-01-24T13:30:35.196Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-24T13:30:35.196Z] GC before operation: completed in 147.390 ms, heap usage 296.852 MB -> 90.003 MB. [2026-01-24T13:30:38.375Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:30:41.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:30:44.169Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:30:47.344Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:30:49.139Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:30:50.437Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:30:52.896Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:30:54.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:30:54.541Z] 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. [2026-01-24T13:30:54.541Z] The best model improves the baseline by 14.52%. [2026-01-24T13:30:54.896Z] Top recommended movies for user id 72: [2026-01-24T13:30:54.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:30:54.896Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:30:54.896Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:30:54.896Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:30:54.896Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:30:54.896Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19528.611 ms) ====== [2026-01-24T13:30:54.896Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-24T13:30:54.896Z] GC before operation: completed in 148.788 ms, heap usage 525.027 MB -> 90.410 MB. [2026-01-24T13:30:58.116Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:31:00.871Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:31:04.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:31:07.220Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:31:09.086Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:31:10.877Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:31:12.675Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:31:14.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:31:14.477Z] 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. [2026-01-24T13:31:14.842Z] The best model improves the baseline by 14.52%. [2026-01-24T13:31:14.842Z] Top recommended movies for user id 72: [2026-01-24T13:31:14.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:31:14.842Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:31:14.842Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:31:14.842Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:31:14.842Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:31:14.842Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19928.193 ms) ====== [2026-01-24T13:31:14.842Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-24T13:31:15.200Z] GC before operation: completed in 153.096 ms, heap usage 294.614 MB -> 89.942 MB. [2026-01-24T13:31:18.425Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:31:20.841Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:31:24.044Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:31:27.187Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:31:28.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:31:30.809Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:31:32.780Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:31:34.162Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:31:34.525Z] 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. [2026-01-24T13:31:34.881Z] The best model improves the baseline by 14.52%. [2026-01-24T13:31:34.881Z] Top recommended movies for user id 72: [2026-01-24T13:31:34.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:31:34.881Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:31:34.881Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:31:34.881Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:31:34.881Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:31:34.882Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19841.496 ms) ====== [2026-01-24T13:31:34.882Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-24T13:31:35.244Z] GC before operation: completed in 149.164 ms, heap usage 446.429 MB -> 90.234 MB. [2026-01-24T13:31:38.393Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:31:40.863Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:31:43.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:31:46.496Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:31:47.770Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:31:49.626Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:31:51.446Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:31:53.259Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:31:53.625Z] 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. [2026-01-24T13:31:53.625Z] The best model improves the baseline by 14.52%. [2026-01-24T13:31:53.980Z] Top recommended movies for user id 72: [2026-01-24T13:31:53.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:31:53.980Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:31:53.980Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:31:53.980Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:31:53.980Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:31:53.980Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18855.513 ms) ====== [2026-01-24T13:31:54.739Z] ----------------------------------- [2026-01-24T13:31:54.739Z] renaissance-movie-lens_0_PASSED [2026-01-24T13:31:54.739Z] ----------------------------------- [2026-01-24T13:31:54.739Z] [2026-01-24T13:31:54.739Z] TEST TEARDOWN: [2026-01-24T13:31:54.739Z] Nothing to be done for teardown. [2026-01-24T13:31:54.739Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 13:31:54 2026 Epoch Time (ms): 1769261514387