[2026-01-21T07:06:23.217Z] Running test renaissance-movie-lens_0 ... [2026-01-21T07:06:23.217Z] =============================================== [2026-01-21T07:06:23.217Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 07:06:22 2026 Epoch Time (ms): 1768979182822 [2026-01-21T07:06:23.217Z] variation: NoOptions [2026-01-21T07:06:23.217Z] JVM_OPTIONS: [2026-01-21T07:06:23.217Z] { \ [2026-01-21T07:06:23.217Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T07:06:23.217Z] echo "Nothing to be done for setup."; \ [2026-01-21T07:06:23.217Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17689783258914/renaissance-movie-lens_0"; \ [2026-01-21T07:06:23.217Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17689783258914/renaissance-movie-lens_0"; \ [2026-01-21T07:06:23.217Z] echo ""; echo "TESTING:"; \ [2026-01-21T07:06:23.217Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-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_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17689783258914/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T07:06:23.217Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17689783258914/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T07:06:23.217Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T07:06:23.217Z] echo "Nothing to be done for teardown."; \ [2026-01-21T07:06:23.217Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17689783258914/TestTargetResult"; [2026-01-21T07:06:23.217Z] [2026-01-21T07:06:23.217Z] TEST SETUP: [2026-01-21T07:06:23.217Z] Nothing to be done for setup. [2026-01-21T07:06:23.217Z] [2026-01-21T07:06:23.217Z] TESTING: [2026-01-21T07:06:30.253Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-21T07:06:37.529Z] 07:06:36.440 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. [2026-01-21T07:06:39.094Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T07:06:39.891Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T07:06:39.891Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T07:06:39.891Z] GC before operation: completed in 128.497 ms, heap usage 172.568 MB -> 75.828 MB. [2026-01-21T07:06:49.713Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:06:54.133Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:06:59.669Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:07:04.118Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:07:06.576Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:07:09.339Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:07:11.782Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:07:14.241Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:07:14.992Z] 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. [2026-01-21T07:07:14.992Z] The best model improves the baseline by 14.52%. [2026-01-21T07:07:14.992Z] Top recommended movies for user id 72: [2026-01-21T07:07:14.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:07:14.992Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:07:14.992Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:07:14.992Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:07:14.992Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:07:14.992Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35449.988 ms) ====== [2026-01-21T07:07:14.992Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T07:07:15.748Z] GC before operation: completed in 133.429 ms, heap usage 159.076 MB -> 86.306 MB. [2026-01-21T07:07:19.101Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:07:22.453Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:07:25.812Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:07:28.229Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:07:30.659Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:07:33.080Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:07:35.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:07:37.969Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:07:37.969Z] 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. [2026-01-21T07:07:37.969Z] The best model improves the baseline by 14.52%. [2026-01-21T07:07:38.723Z] Top recommended movies for user id 72: [2026-01-21T07:07:38.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:07:38.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:07:38.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:07:38.723Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:07:38.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:07:38.723Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23074.384 ms) ====== [2026-01-21T07:07:38.723Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T07:07:38.723Z] GC before operation: completed in 176.299 ms, heap usage 265.643 MB -> 88.743 MB. [2026-01-21T07:07:43.119Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:07:47.495Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:07:50.881Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:07:54.387Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:07:55.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:07:57.518Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:07:59.101Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:08:00.668Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:08:01.437Z] 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. [2026-01-21T07:08:01.437Z] The best model improves the baseline by 14.52%. [2026-01-21T07:08:01.437Z] Top recommended movies for user id 72: [2026-01-21T07:08:01.437Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:08:01.437Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:08:01.437Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:08:01.437Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:08:01.437Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:08:01.437Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22789.324 ms) ====== [2026-01-21T07:08:01.437Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T07:08:01.437Z] GC before operation: completed in 135.605 ms, heap usage 237.016 MB -> 89.250 MB. [2026-01-21T07:08:04.825Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:08:07.280Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:08:10.661Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:08:14.076Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:08:16.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:08:18.987Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:08:21.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:08:23.051Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:08:23.808Z] 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. [2026-01-21T07:08:23.808Z] The best model improves the baseline by 14.52%. [2026-01-21T07:08:23.808Z] Top recommended movies for user id 72: [2026-01-21T07:08:23.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:08:23.808Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:08:23.808Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:08:23.808Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:08:23.808Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:08:23.808Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22555.092 ms) ====== [2026-01-21T07:08:23.808Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T07:08:24.575Z] GC before operation: completed in 202.961 ms, heap usage 138.676 MB -> 89.381 MB. [2026-01-21T07:08:28.976Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:08:32.861Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:08:39.692Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:08:45.247Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:08:49.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:08:53.079Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:08:56.462Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:08:59.869Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:08:59.869Z] 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. [2026-01-21T07:08:59.869Z] The best model improves the baseline by 14.52%. [2026-01-21T07:09:00.627Z] Top recommended movies for user id 72: [2026-01-21T07:09:00.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:09:00.627Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:09:00.627Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:09:00.627Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:09:00.627Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:09:00.627Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (36117.372 ms) ====== [2026-01-21T07:09:00.627Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T07:09:00.627Z] GC before operation: completed in 236.168 ms, heap usage 147.459 MB -> 89.501 MB. [2026-01-21T07:09:07.499Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:09:11.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:09:17.805Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:09:22.465Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:09:25.864Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:09:29.254Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:09:32.646Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:09:35.088Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:09:35.856Z] 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. [2026-01-21T07:09:35.856Z] The best model improves the baseline by 14.52%. [2026-01-21T07:09:36.617Z] Top recommended movies for user id 72: [2026-01-21T07:09:36.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:09:36.617Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:09:36.617Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:09:36.617Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:09:36.617Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:09:36.617Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (35658.140 ms) ====== [2026-01-21T07:09:36.617Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T07:09:36.617Z] GC before operation: completed in 284.691 ms, heap usage 227.441 MB -> 89.816 MB. [2026-01-21T07:09:42.201Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:09:46.623Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:09:52.162Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:09:57.713Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:10:00.173Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:10:03.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:10:06.531Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:10:09.951Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:10:09.951Z] 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. [2026-01-21T07:10:09.951Z] The best model improves the baseline by 14.52%. [2026-01-21T07:10:10.713Z] Top recommended movies for user id 72: [2026-01-21T07:10:10.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:10:10.713Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:10:10.713Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:10:10.713Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:10:10.713Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:10:10.713Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (33852.539 ms) ====== [2026-01-21T07:10:10.713Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T07:10:10.713Z] GC before operation: completed in 327.630 ms, heap usage 251.523 MB -> 89.775 MB. [2026-01-21T07:10:16.261Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:10:20.676Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:10:26.192Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:10:30.609Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:10:33.479Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:10:35.948Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:10:39.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:10:42.753Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:10:43.511Z] 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. [2026-01-21T07:10:43.511Z] The best model improves the baseline by 14.52%. [2026-01-21T07:10:44.263Z] Top recommended movies for user id 72: [2026-01-21T07:10:44.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:10:44.263Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:10:44.263Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:10:44.263Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:10:44.263Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:10:44.263Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (33129.783 ms) ====== [2026-01-21T07:10:44.263Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T07:10:44.263Z] GC before operation: completed in 299.360 ms, heap usage 105.126 MB -> 89.905 MB. [2026-01-21T07:10:49.797Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:10:54.261Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:10:59.861Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:11:05.506Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:11:08.909Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:11:12.303Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:11:15.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:11:19.149Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:11:19.989Z] 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. [2026-01-21T07:11:19.989Z] The best model improves the baseline by 14.52%. [2026-01-21T07:11:19.989Z] Top recommended movies for user id 72: [2026-01-21T07:11:19.989Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:11:19.989Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:11:19.989Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:11:19.989Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:11:19.989Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:11:19.989Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (36129.760 ms) ====== [2026-01-21T07:11:19.989Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T07:11:20.756Z] GC before operation: completed in 323.476 ms, heap usage 392.815 MB -> 90.142 MB. [2026-01-21T07:11:25.654Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:11:31.205Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:11:36.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:11:41.147Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:11:44.531Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:11:46.974Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:11:51.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:11:53.862Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:11:54.636Z] 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. [2026-01-21T07:11:54.636Z] The best model improves the baseline by 14.52%. [2026-01-21T07:11:54.636Z] Top recommended movies for user id 72: [2026-01-21T07:11:54.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:11:54.636Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:11:54.636Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:11:54.636Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:11:54.636Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:11:54.636Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (34271.836 ms) ====== [2026-01-21T07:11:54.636Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T07:11:55.420Z] GC before operation: completed in 253.306 ms, heap usage 206.875 MB -> 90.100 MB. [2026-01-21T07:12:00.986Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:12:05.433Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:12:09.220Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:12:13.636Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:12:16.106Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:12:19.499Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:12:21.942Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:12:25.337Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:12:25.337Z] 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. [2026-01-21T07:12:25.337Z] The best model improves the baseline by 14.52%. [2026-01-21T07:12:26.101Z] Top recommended movies for user id 72: [2026-01-21T07:12:26.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:12:26.101Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:12:26.101Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:12:26.101Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:12:26.101Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:12:26.101Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (30527.964 ms) ====== [2026-01-21T07:12:26.101Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T07:12:26.101Z] GC before operation: completed in 208.076 ms, heap usage 469.892 MB -> 90.054 MB. [2026-01-21T07:12:31.631Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:12:37.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:12:41.597Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:12:46.021Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:12:49.487Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:12:52.882Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:12:57.306Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:13:00.687Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:13:00.687Z] 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. [2026-01-21T07:13:00.687Z] The best model improves the baseline by 14.52%. [2026-01-21T07:13:01.443Z] Top recommended movies for user id 72: [2026-01-21T07:13:01.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:13:01.443Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:13:01.443Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:13:01.443Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:13:01.443Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:13:01.443Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (35137.397 ms) ====== [2026-01-21T07:13:01.443Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T07:13:01.443Z] GC before operation: completed in 154.004 ms, heap usage 124.221 MB -> 89.830 MB. [2026-01-21T07:13:06.972Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:13:11.408Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:13:17.050Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:13:22.567Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:13:25.013Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:13:27.440Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:13:30.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:13:33.839Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:13:33.839Z] 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. [2026-01-21T07:13:33.839Z] The best model improves the baseline by 14.52%. [2026-01-21T07:13:33.839Z] Top recommended movies for user id 72: [2026-01-21T07:13:33.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:13:33.839Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:13:33.839Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:13:33.839Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:13:33.839Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:13:33.839Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (32667.487 ms) ====== [2026-01-21T07:13:33.839Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T07:13:33.839Z] GC before operation: completed in 205.321 ms, heap usage 284.700 MB -> 90.224 MB. [2026-01-21T07:13:39.373Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:13:45.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:13:49.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:13:55.281Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:13:58.670Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:14:02.063Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:14:05.452Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:14:08.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:14:08.825Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T07:14:08.825Z] The best model improves the baseline by 14.52%. [2026-01-21T07:14:09.586Z] Top recommended movies for user id 72: [2026-01-21T07:14:09.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:14:09.586Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:14:09.586Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:14:09.586Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:14:09.586Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:14:09.586Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (35149.310 ms) ====== [2026-01-21T07:14:09.586Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T07:14:09.586Z] GC before operation: completed in 213.994 ms, heap usage 499.212 MB -> 90.313 MB. [2026-01-21T07:14:14.028Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:14:20.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:14:24.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:14:30.106Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:14:33.469Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:14:36.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:14:39.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:14:42.761Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:14:43.521Z] 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. [2026-01-21T07:14:43.521Z] The best model improves the baseline by 14.52%. [2026-01-21T07:14:43.521Z] Top recommended movies for user id 72: [2026-01-21T07:14:43.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:14:43.521Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:14:43.521Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:14:43.521Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:14:43.521Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:14:43.521Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (34074.647 ms) ====== [2026-01-21T07:14:43.521Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T07:14:43.521Z] GC before operation: completed in 177.400 ms, heap usage 437.610 MB -> 90.459 MB. [2026-01-21T07:14:49.087Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:14:54.645Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:14:59.058Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:15:03.466Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:15:06.428Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:15:08.893Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:15:12.291Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:15:15.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:15:16.446Z] 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. [2026-01-21T07:15:16.446Z] The best model improves the baseline by 14.52%. [2026-01-21T07:15:17.206Z] Top recommended movies for user id 72: [2026-01-21T07:15:17.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:15:17.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:15:17.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:15:17.206Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:15:17.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:15:17.206Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (33356.067 ms) ====== [2026-01-21T07:15:17.206Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T07:15:17.206Z] GC before operation: completed in 294.554 ms, heap usage 262.761 MB -> 90.357 MB. [2026-01-21T07:15:22.742Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:15:28.284Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:15:32.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:15:37.155Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:15:40.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:15:43.941Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:15:47.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:15:50.281Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:15:51.045Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T07:15:51.045Z] The best model improves the baseline by 14.52%. [2026-01-21T07:15:51.045Z] Top recommended movies for user id 72: [2026-01-21T07:15:51.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:15:51.045Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:15:51.045Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:15:51.045Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:15:51.045Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:15:51.045Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (33693.817 ms) ====== [2026-01-21T07:15:51.045Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T07:15:51.045Z] GC before operation: completed in 314.068 ms, heap usage 277.041 MB -> 90.205 MB. [2026-01-21T07:15:56.607Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:16:02.179Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:16:07.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:16:13.287Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:16:15.758Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:16:19.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:16:22.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:16:24.949Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:16:25.710Z] 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. [2026-01-21T07:16:25.710Z] The best model improves the baseline by 14.52%. [2026-01-21T07:16:25.710Z] Top recommended movies for user id 72: [2026-01-21T07:16:25.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:16:25.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:16:25.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:16:25.710Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:16:25.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:16:25.710Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (34619.045 ms) ====== [2026-01-21T07:16:25.710Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T07:16:26.472Z] GC before operation: completed in 260.638 ms, heap usage 297.305 MB -> 90.006 MB. [2026-01-21T07:16:31.413Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:16:36.934Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:16:43.742Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:16:49.274Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:16:53.658Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:16:56.704Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:17:00.066Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:17:03.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:17:03.520Z] 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. [2026-01-21T07:17:04.284Z] The best model improves the baseline by 14.52%. [2026-01-21T07:17:04.284Z] Top recommended movies for user id 72: [2026-01-21T07:17:04.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:17:04.284Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:17:04.284Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:17:04.284Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:17:04.284Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:17:04.284Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (37906.274 ms) ====== [2026-01-21T07:17:04.284Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T07:17:04.284Z] GC before operation: completed in 333.232 ms, heap usage 371.634 MB -> 90.243 MB. [2026-01-21T07:17:09.910Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:17:15.421Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:17:20.948Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:17:25.341Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:17:27.779Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:17:31.131Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:17:33.566Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:17:35.987Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:17:36.764Z] 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. [2026-01-21T07:17:36.764Z] The best model improves the baseline by 14.52%. [2026-01-21T07:17:36.764Z] Top recommended movies for user id 72: [2026-01-21T07:17:36.764Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T07:17:36.764Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T07:17:36.764Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T07:17:36.764Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T07:17:36.764Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T07:17:36.764Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (32464.338 ms) ====== [2026-01-21T07:17:38.316Z] ----------------------------------- [2026-01-21T07:17:38.316Z] renaissance-movie-lens_0_PASSED [2026-01-21T07:17:38.316Z] ----------------------------------- [2026-01-21T07:17:38.316Z] [2026-01-21T07:17:38.316Z] TEST TEARDOWN: [2026-01-21T07:17:38.316Z] Nothing to be done for teardown. [2026-01-21T07:17:38.316Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 07:17:37 2026 Epoch Time (ms): 1768979857503