[2026-01-21T08:16:12.513Z] Running test renaissance-movie-lens_0 ... [2026-01-21T08:16:12.513Z] =============================================== [2026-01-21T08:16:12.513Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 08:16:11 2026 Epoch Time (ms): 1768983371849 [2026-01-21T08:16:12.513Z] variation: NoOptions [2026-01-21T08:16:12.513Z] JVM_OPTIONS: [2026-01-21T08:16:12.513Z] { \ [2026-01-21T08:16:12.513Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T08:16:12.513Z] echo "Nothing to be done for setup."; \ [2026-01-21T08:16:12.513Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689823916963/renaissance-movie-lens_0"; \ [2026-01-21T08:16:12.513Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689823916963/renaissance-movie-lens_0"; \ [2026-01-21T08:16:12.513Z] echo ""; echo "TESTING:"; \ [2026-01-21T08:16:12.513Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689823916963/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T08:16:12.513Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689823916963/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T08:16:12.513Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T08:16:12.513Z] echo "Nothing to be done for teardown."; \ [2026-01-21T08:16:12.513Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689823916963/TestTargetResult"; [2026-01-21T08:16:12.513Z] [2026-01-21T08:16:12.513Z] TEST SETUP: [2026-01-21T08:16:12.513Z] Nothing to be done for setup. [2026-01-21T08:16:12.513Z] [2026-01-21T08:16:12.513Z] TESTING: [2026-01-21T08:16:19.444Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-21T08:16:26.243Z] 08:16:26.055 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-21T08:16:30.039Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T08:16:30.039Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T08:16:30.039Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T08:16:30.039Z] GC before operation: completed in 173.112 ms, heap usage 292.318 MB -> 74.454 MB. [2026-01-21T08:16:36.892Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:16:39.965Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:16:43.032Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:16:46.102Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:16:48.093Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:16:50.084Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:16:52.075Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:16:54.079Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:16:54.079Z] 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. [2026-01-21T08:16:54.079Z] The best model improves the baseline by 14.52%. [2026-01-21T08:16:54.079Z] Top recommended movies for user id 72: [2026-01-21T08:16:54.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:16:54.079Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:16:54.079Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:16:54.079Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:16:54.079Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:16:54.079Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24826.844 ms) ====== [2026-01-21T08:16:54.079Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T08:16:55.051Z] GC before operation: completed in 159.191 ms, heap usage 409.339 MB -> 86.926 MB. [2026-01-21T08:16:57.043Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:17:00.119Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:17:03.211Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:17:06.275Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:17:07.245Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:17:09.238Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:17:11.231Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:17:13.219Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:17:13.219Z] 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. [2026-01-21T08:17:13.219Z] The best model improves the baseline by 14.52%. [2026-01-21T08:17:13.219Z] Top recommended movies for user id 72: [2026-01-21T08:17:13.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:17:13.219Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:17:13.219Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:17:13.219Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:17:13.219Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:17:13.219Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18710.169 ms) ====== [2026-01-21T08:17:13.219Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T08:17:13.219Z] GC before operation: completed in 158.569 ms, heap usage 470.842 MB -> 87.880 MB. [2026-01-21T08:17:16.432Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:17:20.214Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:17:22.215Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:17:24.199Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:17:26.188Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:17:28.175Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:17:30.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:17:32.154Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:17:32.154Z] 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. [2026-01-21T08:17:32.154Z] The best model improves the baseline by 14.52%. [2026-01-21T08:17:32.154Z] Top recommended movies for user id 72: [2026-01-21T08:17:32.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:17:32.154Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:17:32.154Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:17:32.154Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:17:32.154Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:17:32.154Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18705.881 ms) ====== [2026-01-21T08:17:32.154Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T08:17:32.154Z] GC before operation: completed in 161.131 ms, heap usage 462.300 MB -> 88.502 MB. [2026-01-21T08:17:35.235Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:17:38.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:17:41.372Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:17:43.378Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:17:45.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:17:47.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:17:49.343Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:17:51.338Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:17:51.338Z] 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. [2026-01-21T08:17:51.338Z] The best model improves the baseline by 14.52%. [2026-01-21T08:17:51.338Z] Top recommended movies for user id 72: [2026-01-21T08:17:51.338Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:17:51.338Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:17:51.338Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:17:51.338Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:17:51.338Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:17:51.338Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19286.034 ms) ====== [2026-01-21T08:17:51.338Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T08:17:51.338Z] GC before operation: completed in 173.309 ms, heap usage 130.375 MB -> 88.332 MB. [2026-01-21T08:17:54.408Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:17:57.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:18:00.592Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:18:04.820Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:18:06.807Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:18:08.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:18:10.781Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:18:12.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:18:12.238Z] 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. [2026-01-21T08:18:12.238Z] The best model improves the baseline by 14.52%. [2026-01-21T08:18:13.206Z] Top recommended movies for user id 72: [2026-01-21T08:18:13.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:18:13.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:18:13.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:18:13.206Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:18:13.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:18:13.206Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21125.158 ms) ====== [2026-01-21T08:18:13.206Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T08:18:13.206Z] GC before operation: completed in 178.152 ms, heap usage 135.441 MB -> 88.267 MB. [2026-01-21T08:18:16.290Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:18:18.277Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:18:21.343Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:18:24.429Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:18:26.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:18:27.385Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:18:29.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:18:31.385Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:18:31.385Z] 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. [2026-01-21T08:18:31.385Z] The best model improves the baseline by 14.52%. [2026-01-21T08:18:31.385Z] Top recommended movies for user id 72: [2026-01-21T08:18:31.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:18:31.385Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:18:31.385Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:18:31.385Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:18:31.385Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:18:31.385Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18704.896 ms) ====== [2026-01-21T08:18:31.385Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T08:18:32.354Z] GC before operation: completed in 183.302 ms, heap usage 178.978 MB -> 88.689 MB. [2026-01-21T08:18:35.419Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:18:37.410Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:18:40.489Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:18:43.561Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:18:44.532Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:18:46.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:18:48.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:18:50.513Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:18:50.513Z] 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. [2026-01-21T08:18:50.513Z] The best model improves the baseline by 14.52%. [2026-01-21T08:18:50.513Z] Top recommended movies for user id 72: [2026-01-21T08:18:50.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:18:50.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:18:50.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:18:50.513Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:18:50.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:18:50.513Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18982.594 ms) ====== [2026-01-21T08:18:50.513Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T08:18:51.482Z] GC before operation: completed in 181.336 ms, heap usage 417.499 MB -> 88.885 MB. [2026-01-21T08:18:54.551Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:18:56.539Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:19:00.339Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:19:02.348Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:19:04.339Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:19:06.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:19:08.317Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:19:10.323Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:19:10.323Z] 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. [2026-01-21T08:19:10.323Z] The best model improves the baseline by 14.52%. [2026-01-21T08:19:10.323Z] Top recommended movies for user id 72: [2026-01-21T08:19:10.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:19:10.323Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:19:10.323Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:19:10.323Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:19:10.323Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:19:10.323Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19372.478 ms) ====== [2026-01-21T08:19:10.323Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T08:19:10.323Z] GC before operation: completed in 181.454 ms, heap usage 274.577 MB -> 88.949 MB. [2026-01-21T08:19:13.397Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:19:16.619Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:19:20.260Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:19:22.286Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:19:24.275Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:19:26.278Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:19:28.266Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:19:29.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:19:30.203Z] 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. [2026-01-21T08:19:30.203Z] The best model improves the baseline by 14.52%. [2026-01-21T08:19:30.203Z] Top recommended movies for user id 72: [2026-01-21T08:19:30.203Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:19:30.203Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:19:30.204Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:19:30.204Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:19:30.204Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:19:30.204Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19282.603 ms) ====== [2026-01-21T08:19:30.204Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T08:19:30.204Z] GC before operation: completed in 147.157 ms, heap usage 412.112 MB -> 88.946 MB. [2026-01-21T08:19:33.269Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:19:35.258Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:19:38.326Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:19:41.407Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:19:43.398Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:19:45.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:19:47.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:19:48.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:19:49.325Z] 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. [2026-01-21T08:19:49.325Z] The best model improves the baseline by 14.52%. [2026-01-21T08:19:49.325Z] Top recommended movies for user id 72: [2026-01-21T08:19:49.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:19:49.325Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:19:49.325Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:19:49.325Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:19:49.325Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:19:49.325Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19030.856 ms) ====== [2026-01-21T08:19:49.325Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T08:19:49.325Z] GC before operation: completed in 166.075 ms, heap usage 191.575 MB -> 88.890 MB. [2026-01-21T08:19:52.396Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:19:54.573Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:19:57.644Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:20:00.714Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:20:02.705Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:20:04.697Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:20:06.686Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:20:08.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:20:08.677Z] 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. [2026-01-21T08:20:08.677Z] The best model improves the baseline by 14.52%. [2026-01-21T08:20:08.677Z] Top recommended movies for user id 72: [2026-01-21T08:20:08.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:20:08.677Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:20:08.677Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:20:08.677Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:20:08.677Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:20:08.677Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19713.589 ms) ====== [2026-01-21T08:20:08.677Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T08:20:09.649Z] GC before operation: completed in 174.007 ms, heap usage 411.468 MB -> 88.860 MB. [2026-01-21T08:20:12.724Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:20:14.717Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:20:17.931Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:20:21.012Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:20:22.731Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:20:24.719Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:20:26.707Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:20:28.696Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:20:28.697Z] 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. [2026-01-21T08:20:28.697Z] The best model improves the baseline by 14.52%. [2026-01-21T08:20:28.697Z] Top recommended movies for user id 72: [2026-01-21T08:20:28.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:20:28.697Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:20:28.697Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:20:28.697Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:20:28.697Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:20:28.697Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19613.726 ms) ====== [2026-01-21T08:20:28.697Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T08:20:28.697Z] GC before operation: completed in 187.472 ms, heap usage 161.560 MB -> 88.826 MB. [2026-01-21T08:20:31.764Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:20:34.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:20:37.991Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:20:41.348Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:20:42.317Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:20:44.448Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:20:45.418Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:20:47.406Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:20:47.406Z] 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. [2026-01-21T08:20:48.377Z] The best model improves the baseline by 14.52%. [2026-01-21T08:20:48.377Z] Top recommended movies for user id 72: [2026-01-21T08:20:48.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:20:48.377Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:20:48.377Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:20:48.377Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:20:48.377Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:20:48.377Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19028.018 ms) ====== [2026-01-21T08:20:48.377Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T08:20:48.377Z] GC before operation: completed in 181.972 ms, heap usage 385.545 MB -> 89.183 MB. [2026-01-21T08:20:51.441Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:20:54.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:20:57.569Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:20:59.556Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:21:01.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:21:04.249Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:21:05.218Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:21:07.205Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:21:07.205Z] 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. [2026-01-21T08:21:07.205Z] The best model improves the baseline by 14.52%. [2026-01-21T08:21:08.172Z] Top recommended movies for user id 72: [2026-01-21T08:21:08.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:21:08.172Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:21:08.172Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:21:08.172Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:21:08.172Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:21:08.172Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19474.039 ms) ====== [2026-01-21T08:21:08.172Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T08:21:08.172Z] GC before operation: completed in 179.051 ms, heap usage 392.319 MB -> 89.004 MB. [2026-01-21T08:21:11.235Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:21:13.222Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:21:16.291Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:21:19.407Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:21:20.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:21:22.367Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:21:24.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:21:26.351Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:21:26.352Z] 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. [2026-01-21T08:21:26.352Z] The best model improves the baseline by 14.52%. [2026-01-21T08:21:26.352Z] Top recommended movies for user id 72: [2026-01-21T08:21:26.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:21:26.352Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:21:26.352Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:21:26.352Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:21:26.352Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:21:26.352Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18524.206 ms) ====== [2026-01-21T08:21:26.352Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T08:21:26.352Z] GC before operation: completed in 171.576 ms, heap usage 245.013 MB -> 89.033 MB. [2026-01-21T08:21:29.424Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:21:32.493Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:21:35.563Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:21:37.552Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:21:39.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:21:41.532Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:21:43.524Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:21:45.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:21:45.515Z] 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. [2026-01-21T08:21:45.515Z] The best model improves the baseline by 14.52%. [2026-01-21T08:21:45.515Z] Top recommended movies for user id 72: [2026-01-21T08:21:45.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:21:45.515Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:21:45.515Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:21:45.515Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:21:45.515Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:21:45.515Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18939.388 ms) ====== [2026-01-21T08:21:45.515Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T08:21:45.515Z] GC before operation: completed in 177.916 ms, heap usage 270.898 MB -> 88.929 MB. [2026-01-21T08:21:48.590Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:21:51.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:21:54.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:21:56.731Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:21:59.382Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:22:00.360Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:22:02.349Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:22:04.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:22:04.339Z] 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. [2026-01-21T08:22:04.339Z] The best model improves the baseline by 14.52%. [2026-01-21T08:22:04.339Z] Top recommended movies for user id 72: [2026-01-21T08:22:04.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:22:04.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:22:04.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:22:04.339Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:22:04.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:22:04.339Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19067.259 ms) ====== [2026-01-21T08:22:04.339Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T08:22:05.308Z] GC before operation: completed in 184.574 ms, heap usage 128.974 MB -> 88.802 MB. [2026-01-21T08:22:08.401Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:22:10.396Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:22:13.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:22:16.537Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:22:18.680Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:22:20.672Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:22:21.641Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:22:23.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:22:23.643Z] 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. [2026-01-21T08:22:23.643Z] The best model improves the baseline by 14.52%. [2026-01-21T08:22:24.613Z] Top recommended movies for user id 72: [2026-01-21T08:22:24.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:22:24.613Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:22:24.613Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:22:24.613Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:22:24.613Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:22:24.613Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19264.153 ms) ====== [2026-01-21T08:22:24.613Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T08:22:24.613Z] GC before operation: completed in 172.113 ms, heap usage 223.215 MB -> 88.732 MB. [2026-01-21T08:22:27.687Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:22:30.765Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:22:33.841Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:22:35.832Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:22:37.826Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:22:39.817Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:22:41.810Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:22:43.802Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:22:43.802Z] 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. [2026-01-21T08:22:43.802Z] The best model improves the baseline by 14.52%. [2026-01-21T08:22:43.802Z] Top recommended movies for user id 72: [2026-01-21T08:22:43.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:22:43.802Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:22:43.802Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:22:43.802Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:22:43.802Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:22:43.802Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19553.499 ms) ====== [2026-01-21T08:22:43.802Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T08:22:43.802Z] GC before operation: completed in 190.375 ms, heap usage 174.857 MB -> 88.897 MB. [2026-01-21T08:22:47.274Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T08:22:50.347Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T08:22:53.462Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T08:22:55.452Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T08:22:57.453Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T08:22:59.442Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T08:23:01.468Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T08:23:02.436Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T08:23:03.407Z] 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. [2026-01-21T08:23:03.407Z] The best model improves the baseline by 14.52%. [2026-01-21T08:23:03.407Z] Top recommended movies for user id 72: [2026-01-21T08:23:03.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T08:23:03.407Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T08:23:03.407Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T08:23:03.407Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T08:23:03.407Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T08:23:03.407Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18977.397 ms) ====== [2026-01-21T08:23:03.407Z] ----------------------------------- [2026-01-21T08:23:03.407Z] renaissance-movie-lens_0_PASSED [2026-01-21T08:23:03.407Z] ----------------------------------- [2026-01-21T08:23:03.407Z] [2026-01-21T08:23:03.407Z] TEST TEARDOWN: [2026-01-21T08:23:03.407Z] Nothing to be done for teardown. [2026-01-21T08:23:03.407Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 08:23:03 2026 Epoch Time (ms): 1768983783152