[2026-02-13T04:49:16.080Z] Running test renaissance-movie-lens_0 ... [2026-02-13T04:49:16.080Z] =============================================== [2026-02-13T04:49:16.081Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 04:49:15 2026 Epoch Time (ms): 1770958155905 [2026-02-13T04:49:16.081Z] variation: NoOptions [2026-02-13T04:49:16.081Z] JVM_OPTIONS: [2026-02-13T04:49:16.081Z] { \ [2026-02-13T04:49:16.081Z] echo ""; echo "TEST SETUP:"; \ [2026-02-13T04:49:16.081Z] echo "Nothing to be done for setup."; \ [2026-02-13T04:49:16.081Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17709572964618/renaissance-movie-lens_0"; \ [2026-02-13T04:49:16.081Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17709572964618/renaissance-movie-lens_0"; \ [2026-02-13T04:49:16.081Z] echo ""; echo "TESTING:"; \ [2026-02-13T04:49:16.081Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17709572964618/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-13T04:49:16.081Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17709572964618/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-13T04:49:16.081Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-13T04:49:16.081Z] echo "Nothing to be done for teardown."; \ [2026-02-13T04:49:16.081Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17709572964618/TestTargetResult"; [2026-02-13T04:49:16.081Z] [2026-02-13T04:49:16.081Z] TEST SETUP: [2026-02-13T04:49:16.081Z] Nothing to be done for setup. [2026-02-13T04:49:16.081Z] [2026-02-13T04:49:16.081Z] TESTING: [2026-02-13T04:49:17.050Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-13T04:49:17.050Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17709572964618/renaissance-movie-lens_0/launcher-044916-15466812291714050006/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-13T04:49:17.050Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-13T04:49:17.050Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-13T04:49:21.299Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-13T04:49:28.093Z] 04:49:27.474 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-13T04:49:30.081Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-13T04:49:30.081Z] Training: 60056, validation: 20285, test: 19854 [2026-02-13T04:49:30.081Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-13T04:49:30.081Z] GC before operation: completed in 123.829 ms, heap usage 313.631 MB -> 75.607 MB. [2026-02-13T04:49:35.588Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:49:37.577Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:49:40.655Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:49:43.723Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:49:44.693Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:49:46.842Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:49:47.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:49:49.828Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:49:49.828Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:49:49.828Z] The best model improves the baseline by 14.52%. [2026-02-13T04:49:49.828Z] Top recommended movies for user id 72: [2026-02-13T04:49:49.828Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:49:49.828Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:49:49.828Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:49:49.828Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:49:49.828Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:49:49.828Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (19811.180 ms) ====== [2026-02-13T04:49:49.828Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-13T04:49:50.797Z] GC before operation: completed in 127.560 ms, heap usage 133.086 MB -> 86.166 MB. [2026-02-13T04:49:52.788Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:49:55.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:49:57.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:50:00.046Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:50:02.035Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:50:04.023Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:50:04.995Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:50:06.853Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:50:06.853Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:50:06.853Z] The best model improves the baseline by 14.52%. [2026-02-13T04:50:06.853Z] Top recommended movies for user id 72: [2026-02-13T04:50:06.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:50:06.853Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:50:06.853Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:50:06.853Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:50:06.853Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:50:06.853Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16799.223 ms) ====== [2026-02-13T04:50:06.853Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-13T04:50:06.853Z] GC before operation: completed in 119.103 ms, heap usage 446.200 MB -> 88.807 MB. [2026-02-13T04:50:09.935Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:50:11.926Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:50:15.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:50:17.021Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:50:17.991Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:50:19.980Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:50:21.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:50:22.938Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:50:22.938Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:50:22.938Z] The best model improves the baseline by 14.52%. [2026-02-13T04:50:22.938Z] Top recommended movies for user id 72: [2026-02-13T04:50:22.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:50:22.938Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:50:22.938Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:50:22.938Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:50:22.938Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:50:22.938Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16050.602 ms) ====== [2026-02-13T04:50:22.938Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-13T04:50:23.909Z] GC before operation: completed in 159.674 ms, heap usage 378.848 MB -> 89.261 MB. [2026-02-13T04:50:25.899Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:50:27.888Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:50:30.959Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:50:32.950Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:50:33.921Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:50:35.912Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:50:37.901Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:50:38.869Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:50:38.869Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:50:38.869Z] The best model improves the baseline by 14.52%. [2026-02-13T04:50:38.869Z] Top recommended movies for user id 72: [2026-02-13T04:50:38.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:50:38.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:50:38.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:50:38.869Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:50:38.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:50:38.869Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15720.699 ms) ====== [2026-02-13T04:50:38.869Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-13T04:50:39.839Z] GC before operation: completed in 135.524 ms, heap usage 383.729 MB -> 89.562 MB. [2026-02-13T04:50:41.826Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:50:43.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:50:46.889Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:50:48.879Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:50:50.877Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:50:51.851Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:50:53.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:50:54.811Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:50:54.811Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:50:55.782Z] The best model improves the baseline by 14.52%. [2026-02-13T04:50:55.782Z] Top recommended movies for user id 72: [2026-02-13T04:50:55.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:50:55.782Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:50:55.782Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:50:55.782Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:50:55.782Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:50:55.782Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16114.609 ms) ====== [2026-02-13T04:50:55.782Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-13T04:50:55.782Z] GC before operation: completed in 146.690 ms, heap usage 296.183 MB -> 89.395 MB. [2026-02-13T04:50:58.563Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:51:00.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:51:02.544Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:51:04.532Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:51:06.521Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:51:07.492Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:51:09.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:51:10.454Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:51:10.454Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:51:10.454Z] The best model improves the baseline by 14.52%. [2026-02-13T04:51:10.454Z] Top recommended movies for user id 72: [2026-02-13T04:51:10.454Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:51:10.454Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:51:10.454Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:51:10.454Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:51:10.454Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:51:10.454Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15105.137 ms) ====== [2026-02-13T04:51:10.454Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-13T04:51:10.454Z] GC before operation: completed in 114.508 ms, heap usage 400.152 MB -> 89.823 MB. [2026-02-13T04:51:12.445Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:51:14.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:51:16.425Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:51:18.430Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:51:19.399Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:51:21.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:51:22.360Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:51:23.330Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:51:23.331Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:51:23.331Z] The best model improves the baseline by 14.52%. [2026-02-13T04:51:24.300Z] Top recommended movies for user id 72: [2026-02-13T04:51:24.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:51:24.301Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:51:24.301Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:51:24.301Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:51:24.301Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:51:24.301Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13056.245 ms) ====== [2026-02-13T04:51:24.301Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-13T04:51:24.301Z] GC before operation: completed in 116.169 ms, heap usage 114.656 MB -> 89.507 MB. [2026-02-13T04:51:26.291Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:51:28.290Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:51:30.290Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:51:32.281Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:51:33.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:51:34.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:51:35.189Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:51:37.179Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:51:37.179Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:51:37.179Z] The best model improves the baseline by 14.52%. [2026-02-13T04:51:37.179Z] Top recommended movies for user id 72: [2026-02-13T04:51:37.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:51:37.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:51:37.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:51:37.179Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:51:37.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:51:37.179Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13032.390 ms) ====== [2026-02-13T04:51:37.179Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-13T04:51:37.179Z] GC before operation: completed in 147.740 ms, heap usage 243.408 MB -> 89.862 MB. [2026-02-13T04:51:39.171Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:51:41.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:51:43.148Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:51:45.137Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:51:46.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:51:48.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:51:49.116Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:51:50.086Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:51:50.086Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:51:50.087Z] The best model improves the baseline by 14.52%. [2026-02-13T04:51:51.056Z] Top recommended movies for user id 72: [2026-02-13T04:51:51.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:51:51.056Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:51:51.056Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:51:51.056Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:51:51.056Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:51:51.056Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13381.584 ms) ====== [2026-02-13T04:51:51.056Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-13T04:51:51.056Z] GC before operation: completed in 114.137 ms, heap usage 180.264 MB -> 89.673 MB. [2026-02-13T04:51:53.050Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:51:55.045Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:51:57.037Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:51:59.031Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:52:00.005Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:52:01.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:52:02.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:52:03.936Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:52:03.936Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:52:03.936Z] The best model improves the baseline by 14.52%. [2026-02-13T04:52:04.905Z] Top recommended movies for user id 72: [2026-02-13T04:52:04.905Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:52:04.905Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:52:04.905Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:52:04.905Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:52:04.905Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:52:04.905Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13818.027 ms) ====== [2026-02-13T04:52:04.905Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-13T04:52:04.905Z] GC before operation: completed in 109.755 ms, heap usage 301.825 MB -> 90.077 MB. [2026-02-13T04:52:06.897Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:52:08.889Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:52:10.879Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:52:13.947Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:52:14.916Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:52:15.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:52:17.878Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:52:18.848Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:52:18.848Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:52:18.848Z] The best model improves the baseline by 14.52%. [2026-02-13T04:52:19.819Z] Top recommended movies for user id 72: [2026-02-13T04:52:19.819Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:52:19.819Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:52:19.819Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:52:19.819Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:52:19.819Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:52:19.819Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14795.184 ms) ====== [2026-02-13T04:52:19.819Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-13T04:52:19.819Z] GC before operation: completed in 134.717 ms, heap usage 295.776 MB -> 89.739 MB. [2026-02-13T04:52:21.811Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:52:23.805Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:52:25.796Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:52:27.785Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:52:28.755Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:52:29.727Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:52:30.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:52:31.692Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:52:31.692Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:52:32.670Z] The best model improves the baseline by 14.52%. [2026-02-13T04:52:32.671Z] Top recommended movies for user id 72: [2026-02-13T04:52:32.671Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:52:32.671Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:52:32.671Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:52:32.671Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:52:32.671Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:52:32.671Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12758.373 ms) ====== [2026-02-13T04:52:32.671Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-13T04:52:32.671Z] GC before operation: completed in 117.335 ms, heap usage 268.473 MB -> 89.884 MB. [2026-02-13T04:52:34.662Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:52:36.652Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:52:38.641Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:52:41.185Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:52:42.441Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:52:43.412Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:52:44.384Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:52:45.354Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:52:45.354Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:52:45.354Z] The best model improves the baseline by 14.52%. [2026-02-13T04:52:46.479Z] Top recommended movies for user id 72: [2026-02-13T04:52:46.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:52:46.479Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:52:46.479Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:52:46.479Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:52:46.479Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:52:46.479Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13427.929 ms) ====== [2026-02-13T04:52:46.479Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-13T04:52:46.479Z] GC before operation: completed in 110.668 ms, heap usage 172.372 MB -> 89.991 MB. [2026-02-13T04:52:47.450Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:52:49.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:52:52.533Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:52:54.526Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:52:55.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:52:56.468Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:52:58.458Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:52:59.430Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:52:59.430Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:52:59.430Z] The best model improves the baseline by 14.52%. [2026-02-13T04:53:00.401Z] Top recommended movies for user id 72: [2026-02-13T04:53:00.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:53:00.401Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:53:00.401Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:53:00.401Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:53:00.401Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:53:00.401Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13923.841 ms) ====== [2026-02-13T04:53:00.401Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-13T04:53:00.401Z] GC before operation: completed in 119.178 ms, heap usage 342.605 MB -> 89.881 MB. [2026-02-13T04:53:02.394Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:53:04.384Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:53:06.374Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:53:08.366Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:53:09.336Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:53:11.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:53:12.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:53:13.272Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:53:13.272Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:53:13.272Z] The best model improves the baseline by 14.52%. [2026-02-13T04:53:14.243Z] Top recommended movies for user id 72: [2026-02-13T04:53:14.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:53:14.243Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:53:14.243Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:53:14.243Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:53:14.243Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:53:14.243Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13838.445 ms) ====== [2026-02-13T04:53:14.243Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-13T04:53:14.243Z] GC before operation: completed in 112.341 ms, heap usage 171.734 MB -> 89.983 MB. [2026-02-13T04:53:16.235Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:53:18.227Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:53:20.241Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:53:22.233Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:53:24.226Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:53:25.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:53:26.169Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:53:28.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:53:28.159Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:53:28.159Z] The best model improves the baseline by 14.52%. [2026-02-13T04:53:28.159Z] Top recommended movies for user id 72: [2026-02-13T04:53:28.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:53:28.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:53:28.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:53:28.160Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:53:28.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:53:28.160Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14344.106 ms) ====== [2026-02-13T04:53:28.160Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-13T04:53:28.160Z] GC before operation: completed in 114.555 ms, heap usage 123.905 MB -> 89.711 MB. [2026-02-13T04:53:31.255Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:53:33.247Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:53:35.237Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:53:38.313Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:53:39.283Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:53:40.253Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:53:42.244Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:53:43.215Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:53:43.215Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:53:43.215Z] The best model improves the baseline by 14.52%. [2026-02-13T04:53:43.215Z] Top recommended movies for user id 72: [2026-02-13T04:53:43.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:53:43.215Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:53:43.215Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:53:43.215Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:53:43.215Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:53:43.215Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15043.073 ms) ====== [2026-02-13T04:53:43.215Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-13T04:53:43.215Z] GC before operation: completed in 114.497 ms, heap usage 228.321 MB -> 90.001 MB. [2026-02-13T04:53:45.208Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:53:47.376Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:53:49.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:53:51.390Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:53:52.360Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:53:53.342Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:53:54.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:53:55.282Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:53:56.252Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:53:56.252Z] The best model improves the baseline by 14.52%. [2026-02-13T04:53:56.252Z] Top recommended movies for user id 72: [2026-02-13T04:53:56.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:53:56.252Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:53:56.252Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:53:56.253Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:53:56.253Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:53:56.253Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12442.767 ms) ====== [2026-02-13T04:53:56.253Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-13T04:53:56.253Z] GC before operation: completed in 121.721 ms, heap usage 705.629 MB -> 93.655 MB. [2026-02-13T04:53:58.244Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:54:00.234Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:54:02.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:54:04.214Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:54:05.184Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:54:07.174Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:54:08.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:54:09.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:54:10.085Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:54:10.085Z] The best model improves the baseline by 14.52%. [2026-02-13T04:54:10.085Z] Top recommended movies for user id 72: [2026-02-13T04:54:10.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:54:10.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:54:10.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:54:10.085Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:54:10.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:54:10.085Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13768.436 ms) ====== [2026-02-13T04:54:10.085Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-13T04:54:10.085Z] GC before operation: completed in 119.554 ms, heap usage 169.160 MB -> 89.780 MB. [2026-02-13T04:54:12.077Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:54:14.068Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:54:16.059Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:54:18.029Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:54:20.023Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:54:20.993Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:54:22.981Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:54:23.952Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:54:23.952Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:54:23.952Z] The best model improves the baseline by 14.52%. [2026-02-13T04:54:23.952Z] Top recommended movies for user id 72: [2026-02-13T04:54:23.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:54:23.952Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:54:23.952Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:54:23.952Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:54:23.952Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:54:23.952Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14232.102 ms) ====== [2026-02-13T04:54:24.922Z] ----------------------------------- [2026-02-13T04:54:24.922Z] renaissance-movie-lens_0_PASSED [2026-02-13T04:54:24.922Z] ----------------------------------- [2026-02-13T04:54:24.922Z] [2026-02-13T04:54:24.922Z] TEST TEARDOWN: [2026-02-13T04:54:24.922Z] Nothing to be done for teardown. [2026-02-13T04:54:24.922Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 04:54:24 2026 Epoch Time (ms): 1770958464273