[2026-02-20T23:00:25.245Z] Running test renaissance-movie-lens_0 ... [2026-02-20T23:00:25.245Z] =============================================== [2026-02-20T23:00:25.245Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 23:00:24 2026 Epoch Time (ms): 1771628424198 [2026-02-20T23:00:25.245Z] variation: NoOptions [2026-02-20T23:00:25.245Z] JVM_OPTIONS: [2026-02-20T23:00:25.245Z] { \ [2026-02-20T23:00:25.245Z] echo ""; echo "TEST SETUP:"; \ [2026-02-20T23:00:25.245Z] echo "Nothing to be done for setup."; \ [2026-02-20T23:00:25.248Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17716274858583/renaissance-movie-lens_0"; \ [2026-02-20T23:00:25.248Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17716274858583/renaissance-movie-lens_0"; \ [2026-02-20T23:00:25.248Z] echo ""; echo "TESTING:"; \ [2026-02-20T23:00:25.248Z] "/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_17716274858583/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-20T23:00:25.250Z] 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_17716274858583/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-20T23:00:25.250Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-20T23:00:25.250Z] echo "Nothing to be done for teardown."; \ [2026-02-20T23:00:25.250Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17716274858583/TestTargetResult"; [2026-02-20T23:00:25.250Z] [2026-02-20T23:00:25.250Z] TEST SETUP: [2026-02-20T23:00:25.250Z] Nothing to be done for setup. [2026-02-20T23:00:25.250Z] [2026-02-20T23:00:25.250Z] TESTING: [2026-02-20T23:00:30.817Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-20T23:00:39.061Z] 23:00:38.161 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-20T23:00:41.041Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-20T23:00:42.017Z] Training: 60056, validation: 20285, test: 19854 [2026-02-20T23:00:42.017Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-20T23:00:42.017Z] GC before operation: completed in 185.351 ms, heap usage 228.117 MB -> 74.393 MB. [2026-02-20T23:00:48.767Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:00:51.812Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:00:55.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:00:59.035Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:01:01.003Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:01:03.182Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:01:05.154Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:01:07.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:01:08.139Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:01:08.139Z] The best model improves the baseline by 14.52%. [2026-02-20T23:01:08.139Z] Top recommended movies for user id 72: [2026-02-20T23:01:08.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:01:08.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:01:08.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:01:08.139Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:01:08.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:01:08.139Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26131.589 ms) ====== [2026-02-20T23:01:08.139Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-20T23:01:08.139Z] GC before operation: completed in 185.589 ms, heap usage 345.729 MB -> 85.527 MB. [2026-02-20T23:01:11.178Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:01:14.214Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:01:18.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:01:21.452Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:01:22.413Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:01:24.441Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:01:26.427Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:01:28.530Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:01:29.511Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:01:29.511Z] The best model improves the baseline by 14.52%. [2026-02-20T23:01:29.511Z] Top recommended movies for user id 72: [2026-02-20T23:01:29.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:01:29.511Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:01:29.511Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:01:29.511Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:01:29.511Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:01:29.511Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21132.533 ms) ====== [2026-02-20T23:01:29.511Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-20T23:01:29.511Z] GC before operation: completed in 167.238 ms, heap usage 100.289 MB -> 87.243 MB. [2026-02-20T23:01:32.562Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:01:35.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:01:39.791Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:01:42.846Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:01:44.823Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:01:45.784Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:01:48.826Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:01:50.800Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:01:50.800Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:01:50.800Z] The best model improves the baseline by 14.52%. [2026-02-20T23:01:50.800Z] Top recommended movies for user id 72: [2026-02-20T23:01:50.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:01:50.800Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:01:50.800Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:01:50.800Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:01:50.800Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:01:50.800Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21465.109 ms) ====== [2026-02-20T23:01:50.801Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-20T23:01:50.801Z] GC before operation: completed in 171.181 ms, heap usage 132.793 MB -> 87.996 MB. [2026-02-20T23:01:53.835Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:01:56.876Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:01:59.914Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:02:02.974Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:02:04.956Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:02:06.934Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:02:09.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:02:10.831Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:02:11.821Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:02:11.821Z] The best model improves the baseline by 14.52%. [2026-02-20T23:02:11.821Z] Top recommended movies for user id 72: [2026-02-20T23:02:11.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:02:11.821Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:02:11.821Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:02:11.821Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:02:11.821Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:02:11.821Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20768.971 ms) ====== [2026-02-20T23:02:11.821Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-20T23:02:11.821Z] GC before operation: completed in 181.784 ms, heap usage 318.690 MB -> 88.534 MB. [2026-02-20T23:02:14.864Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:02:17.899Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:02:20.967Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:02:24.001Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:02:25.968Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:02:27.938Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:02:29.909Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:02:31.880Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:02:31.880Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:02:31.880Z] The best model improves the baseline by 14.52%. [2026-02-20T23:02:31.880Z] Top recommended movies for user id 72: [2026-02-20T23:02:31.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:02:31.880Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:02:31.880Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:02:31.880Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:02:31.880Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:02:31.880Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19902.824 ms) ====== [2026-02-20T23:02:31.880Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-20T23:02:31.880Z] GC before operation: completed in 175.809 ms, heap usage 402.069 MB -> 88.567 MB. [2026-02-20T23:02:34.932Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:02:38.036Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:02:41.079Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:02:44.119Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:02:46.091Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:02:47.068Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:02:49.041Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:02:51.013Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:02:51.013Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:02:51.013Z] The best model improves the baseline by 14.52%. [2026-02-20T23:02:51.972Z] Top recommended movies for user id 72: [2026-02-20T23:02:51.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:02:51.972Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:02:51.972Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:02:51.972Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:02:51.972Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:02:51.972Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19580.828 ms) ====== [2026-02-20T23:02:51.972Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-20T23:02:51.972Z] GC before operation: completed in 158.637 ms, heap usage 101.450 MB -> 88.435 MB. [2026-02-20T23:02:55.016Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:02:57.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:03:00.070Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:03:03.116Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:03:05.084Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:03:07.053Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:03:09.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:03:11.926Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:03:11.926Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:03:11.926Z] The best model improves the baseline by 14.52%. [2026-02-20T23:03:11.926Z] Top recommended movies for user id 72: [2026-02-20T23:03:11.926Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:03:11.926Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:03:11.926Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:03:11.926Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:03:11.926Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:03:11.926Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19411.266 ms) ====== [2026-02-20T23:03:11.926Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-20T23:03:11.926Z] GC before operation: completed in 170.138 ms, heap usage 397.951 MB -> 88.837 MB. [2026-02-20T23:03:13.894Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:03:16.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:03:20.023Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:03:23.060Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:03:25.031Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:03:27.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:03:27.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:03:29.947Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:03:29.947Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:03:29.947Z] The best model improves the baseline by 14.52%. [2026-02-20T23:03:30.905Z] Top recommended movies for user id 72: [2026-02-20T23:03:30.905Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:03:30.905Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:03:30.905Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:03:30.905Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:03:30.905Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:03:30.905Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19151.807 ms) ====== [2026-02-20T23:03:30.905Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-20T23:03:30.905Z] GC before operation: completed in 161.907 ms, heap usage 450.149 MB -> 89.142 MB. [2026-02-20T23:03:34.016Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:03:35.995Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:03:39.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:03:42.086Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:03:44.057Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:03:46.030Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:03:48.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:03:48.961Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:03:49.920Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:03:49.920Z] The best model improves the baseline by 14.52%. [2026-02-20T23:03:49.920Z] Top recommended movies for user id 72: [2026-02-20T23:03:49.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:03:49.920Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:03:49.920Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:03:49.920Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:03:49.920Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:03:49.920Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19149.500 ms) ====== [2026-02-20T23:03:49.920Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-20T23:03:49.920Z] GC before operation: completed in 163.352 ms, heap usage 408.683 MB -> 88.905 MB. [2026-02-20T23:03:52.959Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:03:56.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:03:59.049Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:04:01.040Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:04:03.010Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:04:04.980Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:04:05.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:04:07.920Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:04:07.920Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:04:08.881Z] The best model improves the baseline by 14.52%. [2026-02-20T23:04:08.881Z] Top recommended movies for user id 72: [2026-02-20T23:04:08.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:04:08.881Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:04:08.881Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:04:08.881Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:04:08.881Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:04:08.881Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18607.256 ms) ====== [2026-02-20T23:04:08.881Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-20T23:04:08.881Z] GC before operation: completed in 165.425 ms, heap usage 554.551 MB -> 92.534 MB. [2026-02-20T23:04:13.165Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:04:14.124Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:04:17.189Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:04:20.230Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:04:22.203Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:04:24.172Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:04:25.131Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:04:27.103Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:04:27.103Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:04:27.103Z] The best model improves the baseline by 14.52%. [2026-02-20T23:04:28.091Z] Top recommended movies for user id 72: [2026-02-20T23:04:28.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:04:28.091Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:04:28.091Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:04:28.091Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:04:28.091Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:04:28.091Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18956.354 ms) ====== [2026-02-20T23:04:28.091Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-20T23:04:28.091Z] GC before operation: completed in 159.763 ms, heap usage 476.485 MB -> 88.909 MB. [2026-02-20T23:04:31.131Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:04:33.105Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:04:36.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:04:39.195Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:04:41.196Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:04:42.160Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:04:44.130Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:04:46.103Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:04:46.103Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:04:46.103Z] The best model improves the baseline by 14.52%. [2026-02-20T23:04:46.103Z] Top recommended movies for user id 72: [2026-02-20T23:04:46.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:04:46.103Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:04:46.103Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:04:46.103Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:04:46.103Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:04:46.103Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18574.167 ms) ====== [2026-02-20T23:04:46.103Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-20T23:04:47.076Z] GC before operation: completed in 172.611 ms, heap usage 486.928 MB -> 89.197 MB. [2026-02-20T23:04:49.223Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:04:52.280Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:04:55.353Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:04:58.393Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:05:00.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:05:01.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:05:03.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:05:05.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:05:05.262Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:05:05.262Z] The best model improves the baseline by 14.52%. [2026-02-20T23:05:05.262Z] Top recommended movies for user id 72: [2026-02-20T23:05:05.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:05:05.262Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:05:05.262Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:05:05.262Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:05:05.262Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:05:05.262Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18922.532 ms) ====== [2026-02-20T23:05:05.262Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-20T23:05:05.262Z] GC before operation: completed in 160.534 ms, heap usage 398.174 MB -> 89.185 MB. [2026-02-20T23:05:08.300Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:05:11.340Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:05:15.448Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:05:17.416Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:05:19.386Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:05:20.366Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:05:22.338Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:05:24.307Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:05:24.307Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:05:24.307Z] The best model improves the baseline by 14.52%. [2026-02-20T23:05:24.307Z] Top recommended movies for user id 72: [2026-02-20T23:05:24.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:05:24.307Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:05:24.307Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:05:24.307Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:05:24.307Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:05:24.307Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18782.494 ms) ====== [2026-02-20T23:05:24.307Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-20T23:05:24.307Z] GC before operation: completed in 153.298 ms, heap usage 401.549 MB -> 89.000 MB. [2026-02-20T23:05:27.354Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:05:30.448Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:05:33.484Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:05:36.540Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:05:37.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:05:39.470Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:05:41.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:05:43.411Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:05:43.411Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:05:43.411Z] The best model improves the baseline by 14.52%. [2026-02-20T23:05:43.411Z] Top recommended movies for user id 72: [2026-02-20T23:05:43.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:05:43.411Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:05:43.411Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:05:43.411Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:05:43.411Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:05:43.412Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18876.635 ms) ====== [2026-02-20T23:05:43.412Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-20T23:05:43.412Z] GC before operation: completed in 154.239 ms, heap usage 425.192 MB -> 89.222 MB. [2026-02-20T23:05:46.454Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:05:49.490Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:05:52.533Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:05:54.501Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:05:56.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:05:58.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:06:00.429Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:06:01.388Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:06:02.349Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:06:02.349Z] The best model improves the baseline by 14.52%. [2026-02-20T23:06:02.349Z] Top recommended movies for user id 72: [2026-02-20T23:06:02.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:06:02.349Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:06:02.349Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:06:02.349Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:06:02.349Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:06:02.349Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18637.171 ms) ====== [2026-02-20T23:06:02.349Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-20T23:06:02.349Z] GC before operation: completed in 154.841 ms, heap usage 339.501 MB -> 88.970 MB. [2026-02-20T23:06:05.391Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:06:08.432Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:06:10.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:06:13.460Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:06:16.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:06:17.452Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:06:18.456Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:06:20.445Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:06:20.445Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:06:20.445Z] The best model improves the baseline by 14.52%. [2026-02-20T23:06:20.445Z] Top recommended movies for user id 72: [2026-02-20T23:06:20.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:06:20.445Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:06:20.445Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:06:20.445Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:06:20.445Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:06:20.445Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18254.592 ms) ====== [2026-02-20T23:06:20.445Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-20T23:06:20.445Z] GC before operation: completed in 155.255 ms, heap usage 389.997 MB -> 89.141 MB. [2026-02-20T23:06:23.484Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:06:26.533Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:06:29.630Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:06:32.692Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:06:33.655Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:06:35.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:06:37.643Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:06:38.604Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:06:39.563Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:06:39.563Z] The best model improves the baseline by 14.52%. [2026-02-20T23:06:39.563Z] Top recommended movies for user id 72: [2026-02-20T23:06:39.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:06:39.563Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:06:39.563Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:06:39.563Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:06:39.563Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:06:39.563Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18692.595 ms) ====== [2026-02-20T23:06:39.563Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-20T23:06:39.563Z] GC before operation: completed in 162.837 ms, heap usage 269.062 MB -> 88.831 MB. [2026-02-20T23:06:42.609Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:06:45.651Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:06:48.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:06:50.670Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:06:52.642Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:06:54.636Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:06:55.605Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:06:57.575Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:07:00.350Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:07:00.350Z] The best model improves the baseline by 14.52%. [2026-02-20T23:07:00.350Z] Top recommended movies for user id 72: [2026-02-20T23:07:00.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:07:00.350Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:07:00.350Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:07:00.350Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:07:00.350Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:07:00.350Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18543.422 ms) ====== [2026-02-20T23:07:00.350Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-20T23:07:00.350Z] GC before operation: completed in 142.108 ms, heap usage 407.288 MB -> 89.074 MB. [2026-02-20T23:07:01.309Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:07:04.360Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:07:07.400Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:07:09.369Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:07:11.339Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:07:13.312Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:07:14.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:07:16.240Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:07:17.199Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T23:07:17.199Z] The best model improves the baseline by 14.52%. [2026-02-20T23:07:17.199Z] Top recommended movies for user id 72: [2026-02-20T23:07:17.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T23:07:17.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T23:07:17.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T23:07:17.199Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T23:07:17.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T23:07:17.199Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18538.074 ms) ====== [2026-02-20T23:07:17.199Z] ----------------------------------- [2026-02-20T23:07:17.199Z] renaissance-movie-lens_0_PASSED [2026-02-20T23:07:17.199Z] ----------------------------------- [2026-02-20T23:07:17.199Z] [2026-02-20T23:07:17.199Z] TEST TEARDOWN: [2026-02-20T23:07:17.199Z] Nothing to be done for teardown. [2026-02-20T23:07:17.199Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 23:07:16 2026 Epoch Time (ms): 1771628836988