[2026-01-24T15:13:05.969Z] Running test renaissance-movie-lens_0 ... [2026-01-24T15:13:05.969Z] =============================================== [2026-01-24T15:13:06.321Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 15:13:06 2026 Epoch Time (ms): 1769267586018 [2026-01-24T15:13:06.321Z] variation: NoOptions [2026-01-24T15:13:06.321Z] JVM_OPTIONS: [2026-01-24T15:13:06.321Z] { \ [2026-01-24T15:13:06.321Z] echo ""; echo "TEST SETUP:"; \ [2026-01-24T15:13:06.321Z] echo "Nothing to be done for setup."; \ [2026-01-24T15:13:06.321Z] mkdir -p "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17692663697190\\renaissance-movie-lens_0"; \ [2026-01-24T15:13:06.321Z] cd "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17692663697190\\renaissance-movie-lens_0"; \ [2026-01-24T15:13:06.321Z] echo ""; echo "TESTING:"; \ [2026-01-24T15:13:06.321Z] "c:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17692663697190\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-01-24T15:13:06.321Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17692663697190\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-24T15:13:06.321Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-24T15:13:06.321Z] echo "Nothing to be done for teardown."; \ [2026-01-24T15:13:06.321Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17692663697190\\TestTargetResult"; [2026-01-24T15:13:06.321Z] [2026-01-24T15:13:06.321Z] TEST SETUP: [2026-01-24T15:13:06.321Z] Nothing to be done for setup. [2026-01-24T15:13:06.321Z] [2026-01-24T15:13:06.321Z] TESTING: [2026-01-24T15:13:07.056Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-24T15:13:07.056Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/TKG/output_17692663697190/renaissance-movie-lens_0/launcher-151306-6209193507970817569/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-24T15:13:07.056Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-24T15:13:07.056Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-24T15:13:20.256Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-24T15:13:27.598Z] 15:13:26.630 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. [2026-01-24T15:13:29.093Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-24T15:13:29.561Z] Training: 60056, validation: 20285, test: 19854 [2026-01-24T15:13:29.561Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-24T15:13:29.561Z] GC before operation: completed in 151.218 ms, heap usage 286.706 MB -> 76.286 MB. [2026-01-24T15:13:40.819Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:13:51.770Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:14:00.749Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:14:08.136Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:14:14.179Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:14:19.038Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:14:25.013Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:14:29.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:14:29.862Z] 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. [2026-01-24T15:14:29.862Z] The best model improves the baseline by 14.52%. [2026-01-24T15:14:30.299Z] Top recommended movies for user id 72: [2026-01-24T15:14:30.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:14:30.299Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:14:30.299Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:14:30.299Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:14:30.299Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:14:30.299Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (60911.325 ms) ====== [2026-01-24T15:14:30.299Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-24T15:14:30.655Z] GC before operation: completed in 129.473 ms, heap usage 182.046 MB -> 86.787 MB. [2026-01-24T15:14:39.647Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:14:46.978Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:14:55.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:15:03.359Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:15:07.303Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:15:13.308Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:15:18.154Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:15:21.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:15:22.811Z] 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. [2026-01-24T15:15:22.811Z] The best model improves the baseline by 14.52%. [2026-01-24T15:15:22.811Z] Top recommended movies for user id 72: [2026-01-24T15:15:22.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:15:22.811Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:15:22.811Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:15:22.811Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:15:22.811Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:15:22.811Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (52378.682 ms) ====== [2026-01-24T15:15:22.811Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-24T15:15:23.157Z] GC before operation: completed in 116.564 ms, heap usage 116.733 MB -> 88.815 MB. [2026-01-24T15:15:30.518Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:15:39.513Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:15:46.921Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:15:54.288Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:15:59.222Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:16:04.045Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:16:08.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:16:12.765Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:16:13.617Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T15:16:13.617Z] The best model improves the baseline by 14.52%. [2026-01-24T15:16:13.972Z] Top recommended movies for user id 72: [2026-01-24T15:16:13.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:16:13.972Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:16:13.972Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:16:13.972Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:16:13.972Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:16:13.972Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (50706.352 ms) ====== [2026-01-24T15:16:13.972Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-24T15:16:13.972Z] GC before operation: completed in 121.445 ms, heap usage 365.196 MB -> 89.842 MB. [2026-01-24T15:16:21.373Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:16:28.796Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:16:37.851Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:16:45.205Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:16:50.089Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:16:53.957Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:16:58.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:17:03.634Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:17:03.634Z] 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. [2026-01-24T15:17:03.634Z] The best model improves the baseline by 14.52%. [2026-01-24T15:17:04.001Z] Top recommended movies for user id 72: [2026-01-24T15:17:04.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:17:04.002Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:17:04.002Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:17:04.002Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:17:04.002Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:17:04.002Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (50224.913 ms) ====== [2026-01-24T15:17:04.002Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-24T15:17:04.002Z] GC before operation: completed in 112.074 ms, heap usage 366.306 MB -> 90.077 MB. [2026-01-24T15:17:11.367Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:17:20.423Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:17:29.433Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:17:36.788Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:17:40.652Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:17:45.488Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:17:50.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:17:55.186Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:17:55.616Z] 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. [2026-01-24T15:17:55.616Z] The best model improves the baseline by 14.52%. [2026-01-24T15:17:55.616Z] Top recommended movies for user id 72: [2026-01-24T15:17:55.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:17:55.616Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:17:55.616Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:17:55.616Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:17:55.616Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:17:55.616Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (51518.600 ms) ====== [2026-01-24T15:17:55.616Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-24T15:17:55.951Z] GC before operation: completed in 114.500 ms, heap usage 118.279 MB -> 89.655 MB. [2026-01-24T15:18:04.960Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:18:10.979Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:18:20.116Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:18:27.468Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:18:31.313Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:18:36.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:18:40.983Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:18:45.809Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:18:45.809Z] 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. [2026-01-24T15:18:45.809Z] The best model improves the baseline by 14.52%. [2026-01-24T15:18:46.201Z] Top recommended movies for user id 72: [2026-01-24T15:18:46.202Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:18:46.202Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:18:46.202Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:18:46.202Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:18:46.202Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:18:46.202Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (50288.889 ms) ====== [2026-01-24T15:18:46.202Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-24T15:18:46.202Z] GC before operation: completed in 124.615 ms, heap usage 213.375 MB -> 90.095 MB. [2026-01-24T15:18:55.201Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:19:02.560Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:19:09.919Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:19:17.288Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:19:22.149Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:19:26.976Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:19:31.807Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:19:35.678Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:19:36.501Z] 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. [2026-01-24T15:19:36.501Z] The best model improves the baseline by 14.52%. [2026-01-24T15:19:36.501Z] Top recommended movies for user id 72: [2026-01-24T15:19:36.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:19:36.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:19:36.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:19:36.501Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:19:36.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:19:36.501Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (50373.973 ms) ====== [2026-01-24T15:19:36.501Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-24T15:19:36.859Z] GC before operation: completed in 114.641 ms, heap usage 288.681 MB -> 90.261 MB. [2026-01-24T15:19:44.208Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:19:51.607Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:20:00.590Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:20:07.967Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:20:12.803Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:20:16.668Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:20:21.500Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:20:25.386Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:20:26.125Z] 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. [2026-01-24T15:20:26.125Z] The best model improves the baseline by 14.52%. [2026-01-24T15:20:26.497Z] Top recommended movies for user id 72: [2026-01-24T15:20:26.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:20:26.497Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:20:26.497Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:20:26.497Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:20:26.497Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:20:26.497Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (49736.353 ms) ====== [2026-01-24T15:20:26.497Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-24T15:20:26.497Z] GC before operation: completed in 113.082 ms, heap usage 214.212 MB -> 90.267 MB. [2026-01-24T15:20:33.868Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:20:41.230Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:20:50.296Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:20:57.653Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:21:02.500Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:21:06.356Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:21:11.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:21:15.034Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:21:15.777Z] 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. [2026-01-24T15:21:15.777Z] The best model improves the baseline by 14.52%. [2026-01-24T15:21:16.128Z] Top recommended movies for user id 72: [2026-01-24T15:21:16.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:21:16.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:21:16.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:21:16.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:21:16.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:21:16.128Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (49502.541 ms) ====== [2026-01-24T15:21:16.128Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-24T15:21:16.128Z] GC before operation: completed in 116.062 ms, heap usage 290.430 MB -> 90.345 MB. [2026-01-24T15:21:23.485Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:21:30.868Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:21:39.851Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:21:47.226Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:21:51.113Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:21:55.934Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:22:00.806Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:22:05.658Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:22:05.658Z] 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. [2026-01-24T15:22:05.658Z] The best model improves the baseline by 14.52%. [2026-01-24T15:22:06.016Z] Top recommended movies for user id 72: [2026-01-24T15:22:06.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:22:06.016Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:22:06.016Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:22:06.016Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:22:06.016Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:22:06.016Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (49877.023 ms) ====== [2026-01-24T15:22:06.016Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-24T15:22:06.016Z] GC before operation: completed in 116.995 ms, heap usage 167.321 MB -> 90.353 MB. [2026-01-24T15:22:15.007Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:22:22.384Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:22:29.780Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:22:37.157Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:22:41.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:22:45.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:22:50.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:22:55.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:22:55.852Z] 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. [2026-01-24T15:22:55.852Z] The best model improves the baseline by 14.52%. [2026-01-24T15:22:56.453Z] Top recommended movies for user id 72: [2026-01-24T15:22:56.453Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:22:56.453Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:22:56.453Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:22:56.453Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:22:56.453Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:22:56.453Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (49959.737 ms) ====== [2026-01-24T15:22:56.453Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-24T15:22:56.453Z] GC before operation: completed in 109.850 ms, heap usage 118.372 MB -> 89.980 MB. [2026-01-24T15:23:05.481Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:23:11.468Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:23:20.482Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:23:27.828Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:23:31.675Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:23:36.521Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:23:41.320Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:23:45.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:23:45.515Z] 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. [2026-01-24T15:23:45.515Z] The best model improves the baseline by 14.52%. [2026-01-24T15:23:45.867Z] Top recommended movies for user id 72: [2026-01-24T15:23:45.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:23:45.867Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:23:45.867Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:23:45.867Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:23:45.867Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:23:45.867Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (49676.279 ms) ====== [2026-01-24T15:23:45.867Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-24T15:23:45.867Z] GC before operation: completed in 112.297 ms, heap usage 219.712 MB -> 90.273 MB. [2026-01-24T15:23:53.204Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:24:00.557Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:24:09.573Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:24:18.620Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:24:21.646Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:24:26.507Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:24:31.362Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:24:35.232Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:24:35.595Z] 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. [2026-01-24T15:24:35.595Z] The best model improves the baseline by 14.52%. [2026-01-24T15:24:35.949Z] Top recommended movies for user id 72: [2026-01-24T15:24:35.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:24:35.949Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:24:35.949Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:24:35.949Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:24:35.949Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:24:35.949Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (49889.249 ms) ====== [2026-01-24T15:24:35.949Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-24T15:24:35.949Z] GC before operation: completed in 112.044 ms, heap usage 182.681 MB -> 90.422 MB. [2026-01-24T15:24:43.336Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:24:52.331Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:25:01.307Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:25:07.289Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:25:12.131Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:25:15.986Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:25:20.817Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:25:25.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:25:25.662Z] 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. [2026-01-24T15:25:26.052Z] The best model improves the baseline by 14.52%. [2026-01-24T15:25:26.052Z] Top recommended movies for user id 72: [2026-01-24T15:25:26.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:25:26.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:25:26.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:25:26.052Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:25:26.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:25:26.052Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (50083.005 ms) ====== [2026-01-24T15:25:26.052Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-24T15:25:26.415Z] GC before operation: completed in 124.734 ms, heap usage 214.806 MB -> 90.260 MB. [2026-01-24T15:25:33.809Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:25:41.178Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:25:50.165Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:25:57.523Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:26:02.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:26:06.226Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:26:11.104Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:26:15.940Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:26:15.940Z] 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. [2026-01-24T15:26:15.940Z] The best model improves the baseline by 14.52%. [2026-01-24T15:26:16.306Z] Top recommended movies for user id 72: [2026-01-24T15:26:16.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:26:16.306Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:26:16.306Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:26:16.306Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:26:16.306Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:26:16.306Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (49922.879 ms) ====== [2026-01-24T15:26:16.306Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-24T15:26:16.306Z] GC before operation: completed in 110.323 ms, heap usage 213.506 MB -> 90.495 MB. [2026-01-24T15:26:23.667Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:26:32.745Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:26:40.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:26:48.124Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:26:52.008Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:26:56.831Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:27:01.668Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:27:05.509Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:27:06.246Z] 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. [2026-01-24T15:27:06.246Z] The best model improves the baseline by 14.52%. [2026-01-24T15:27:06.657Z] Top recommended movies for user id 72: [2026-01-24T15:27:06.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:27:06.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:27:06.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:27:06.657Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:27:06.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:27:06.657Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (50208.812 ms) ====== [2026-01-24T15:27:06.657Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-24T15:27:06.657Z] GC before operation: completed in 119.887 ms, heap usage 366.264 MB -> 90.579 MB. [2026-01-24T15:27:15.679Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:27:21.698Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:27:30.707Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:27:36.694Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:27:41.547Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:27:45.445Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:27:51.462Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:27:55.310Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:27:55.668Z] 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. [2026-01-24T15:27:55.668Z] The best model improves the baseline by 14.52%. [2026-01-24T15:27:56.023Z] Top recommended movies for user id 72: [2026-01-24T15:27:56.023Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:27:56.023Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:27:56.023Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:27:56.023Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:27:56.023Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:27:56.023Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (49410.274 ms) ====== [2026-01-24T15:27:56.023Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-24T15:27:56.023Z] GC before operation: completed in 120.752 ms, heap usage 214.110 MB -> 90.387 MB. [2026-01-24T15:28:03.398Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:28:10.858Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:28:19.874Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:28:27.273Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:28:32.159Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:28:36.005Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:28:40.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:28:45.781Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:28:45.781Z] 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. [2026-01-24T15:28:45.781Z] The best model improves the baseline by 14.52%. [2026-01-24T15:28:45.781Z] Top recommended movies for user id 72: [2026-01-24T15:28:45.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:28:45.782Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:28:45.782Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:28:45.782Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:28:45.782Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:28:45.782Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (49725.918 ms) ====== [2026-01-24T15:28:45.782Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-24T15:28:46.143Z] GC before operation: completed in 114.462 ms, heap usage 118.264 MB -> 90.171 MB. [2026-01-24T15:28:53.140Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:29:02.115Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:29:11.104Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:29:18.503Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:29:22.008Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:29:25.858Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:29:30.998Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:29:34.800Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:29:35.542Z] 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. [2026-01-24T15:29:35.542Z] The best model improves the baseline by 14.52%. [2026-01-24T15:29:37.858Z] Top recommended movies for user id 72: [2026-01-24T15:29:37.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:29:37.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:29:37.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:29:37.858Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:29:37.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:29:37.858Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (49880.145 ms) ====== [2026-01-24T15:29:37.858Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-24T15:29:37.858Z] GC before operation: completed in 114.638 ms, heap usage 365.545 MB -> 90.638 MB. [2026-01-24T15:29:44.213Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:29:51.666Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:30:00.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:30:06.921Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:30:11.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:30:15.699Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:30:20.533Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:30:25.362Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:30:25.362Z] 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. [2026-01-24T15:30:25.362Z] The best model improves the baseline by 14.52%. [2026-01-24T15:30:25.733Z] Top recommended movies for user id 72: [2026-01-24T15:30:25.733Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:30:25.733Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:30:25.733Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:30:25.733Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:30:25.733Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:30:25.733Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (49782.711 ms) ====== [2026-01-24T15:30:26.127Z] ----------------------------------- [2026-01-24T15:30:26.127Z] renaissance-movie-lens_0_PASSED [2026-01-24T15:30:26.127Z] ----------------------------------- [2026-01-24T15:30:26.844Z] [2026-01-24T15:30:26.844Z] TEST TEARDOWN: [2026-01-24T15:30:26.844Z] Nothing to be done for teardown. [2026-01-24T15:30:26.844Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 15:30:26 2026 Epoch Time (ms): 1769268626593