[2026-01-10T07:43:54.885Z] Running test renaissance-movie-lens_0 ... [2026-01-10T07:43:54.885Z] =============================================== [2026-01-10T07:43:55.247Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 07:43:54 2026 Epoch Time (ms): 1768031034937 [2026-01-10T07:43:55.247Z] variation: NoOptions [2026-01-10T07:43:55.247Z] JVM_OPTIONS: [2026-01-10T07:43:55.247Z] { \ [2026-01-10T07:43:55.247Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T07:43:55.247Z] echo "Nothing to be done for setup."; \ [2026-01-10T07:43:55.247Z] mkdir -p "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680290144173\\renaissance-movie-lens_0"; \ [2026-01-10T07:43:55.247Z] cd "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680290144173\\renaissance-movie-lens_0"; \ [2026-01-10T07:43:55.247Z] echo ""; echo "TESTING:"; \ [2026-01-10T07:43:55.247Z] "c:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680290144173\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-01-10T07:43:55.247Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680290144173\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T07:43:55.247Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T07:43:55.247Z] echo "Nothing to be done for teardown."; \ [2026-01-10T07:43:55.247Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680290144173\\TestTargetResult"; [2026-01-10T07:43:55.247Z] [2026-01-10T07:43:55.247Z] TEST SETUP: [2026-01-10T07:43:55.247Z] Nothing to be done for setup. [2026-01-10T07:43:55.603Z] [2026-01-10T07:43:55.603Z] TESTING: [2026-01-10T07:44:11.630Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-10T07:44:17.752Z] 07:44:16.593 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. [2026-01-10T07:44:19.106Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T07:44:19.521Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T07:44:19.521Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T07:44:19.521Z] GC before operation: completed in 103.149 ms, heap usage 193.551 MB -> 76.402 MB. [2026-01-10T07:44:36.152Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:44:43.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:44:54.504Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:45:03.497Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:45:07.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:45:13.412Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:45:18.321Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:45:23.209Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:45:23.976Z] 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. [2026-01-10T07:45:23.976Z] The best model improves the baseline by 14.52%. [2026-01-10T07:45:24.401Z] Top recommended movies for user id 72: [2026-01-10T07:45:24.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:45:24.401Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:45:24.401Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:45:24.401Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:45:24.401Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:45:24.401Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (64527.631 ms) ====== [2026-01-10T07:45:24.401Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T07:45:24.401Z] GC before operation: completed in 105.759 ms, heap usage 159.458 MB -> 86.640 MB. [2026-01-10T07:45:35.398Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:45:42.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:45:51.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:46:00.877Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:46:04.749Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:46:08.614Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:46:14.621Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:46:18.474Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:46:18.474Z] 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. [2026-01-10T07:46:18.921Z] The best model improves the baseline by 14.52%. [2026-01-10T07:46:18.922Z] Top recommended movies for user id 72: [2026-01-10T07:46:18.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:46:18.922Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:46:18.922Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:46:18.922Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:46:18.922Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:46:18.922Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (54637.670 ms) ====== [2026-01-10T07:46:18.922Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T07:46:19.295Z] GC before operation: completed in 113.477 ms, heap usage 506.861 MB -> 92.892 MB. [2026-01-10T07:46:28.307Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:46:35.686Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:46:44.749Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:46:52.227Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:46:57.092Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:47:01.945Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:47:06.803Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:47:10.696Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:47:11.452Z] 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. [2026-01-10T07:47:11.452Z] The best model improves the baseline by 14.52%. [2026-01-10T07:47:11.868Z] Top recommended movies for user id 72: [2026-01-10T07:47:11.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:47:11.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:47:11.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:47:11.869Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:47:11.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:47:11.869Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (52706.718 ms) ====== [2026-01-10T07:47:11.869Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T07:47:11.869Z] GC before operation: completed in 108.960 ms, heap usage 312.971 MB -> 91.959 MB. [2026-01-10T07:47:20.908Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:47:28.304Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:47:37.352Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:47:44.772Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:47:49.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:47:53.519Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:47:58.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:48:02.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:48:03.014Z] 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. [2026-01-10T07:48:03.014Z] The best model improves the baseline by 14.52%. [2026-01-10T07:48:03.393Z] Top recommended movies for user id 72: [2026-01-10T07:48:03.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:48:03.393Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:48:03.393Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:48:03.393Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:48:03.393Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:48:03.393Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (51440.548 ms) ====== [2026-01-10T07:48:03.393Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T07:48:03.393Z] GC before operation: completed in 115.181 ms, heap usage 372.644 MB -> 92.286 MB. [2026-01-10T07:48:12.426Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:48:19.820Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:48:28.895Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:48:36.293Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:48:40.170Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:48:45.025Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:48:49.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:48:54.763Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:48:54.763Z] 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. [2026-01-10T07:48:54.763Z] The best model improves the baseline by 14.52%. [2026-01-10T07:48:55.137Z] Top recommended movies for user id 72: [2026-01-10T07:48:55.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:48:55.137Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:48:55.137Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:48:55.137Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:48:55.137Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:48:55.137Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (51544.530 ms) ====== [2026-01-10T07:48:55.137Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T07:48:55.137Z] GC before operation: completed in 109.445 ms, heap usage 609.824 MB -> 95.334 MB. [2026-01-10T07:49:04.187Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:49:10.206Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:49:19.301Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:49:26.697Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:49:31.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:49:36.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:49:41.271Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:49:45.155Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:49:45.155Z] 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. [2026-01-10T07:49:45.155Z] The best model improves the baseline by 14.52%. [2026-01-10T07:49:45.652Z] Top recommended movies for user id 72: [2026-01-10T07:49:45.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:49:45.652Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:49:45.652Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:49:45.652Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:49:45.652Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:49:45.652Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (50447.710 ms) ====== [2026-01-10T07:49:45.652Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T07:49:45.652Z] GC before operation: completed in 112.772 ms, heap usage 502.592 MB -> 92.751 MB. [2026-01-10T07:49:53.089Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:50:02.115Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:50:09.534Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:50:16.924Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:50:21.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:50:25.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:50:30.578Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:50:35.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:50:35.443Z] 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. [2026-01-10T07:50:35.443Z] The best model improves the baseline by 14.52%. [2026-01-10T07:50:35.862Z] Top recommended movies for user id 72: [2026-01-10T07:50:35.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:50:35.862Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:50:35.862Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:50:35.862Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:50:35.862Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:50:35.862Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (49957.852 ms) ====== [2026-01-10T07:50:35.862Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T07:50:35.862Z] GC before operation: completed in 166.095 ms, heap usage 127.338 MB -> 89.955 MB. [2026-01-10T07:50:46.856Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:50:54.249Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:51:03.304Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:51:09.363Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:51:14.248Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:51:20.319Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:51:24.205Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:51:29.066Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:51:29.452Z] 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. [2026-01-10T07:51:29.452Z] The best model improves the baseline by 14.52%. [2026-01-10T07:51:29.872Z] Top recommended movies for user id 72: [2026-01-10T07:51:29.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:51:29.872Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:51:29.872Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:51:29.872Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:51:29.872Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:51:29.872Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (53880.628 ms) ====== [2026-01-10T07:51:29.872Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T07:51:29.872Z] GC before operation: completed in 107.636 ms, heap usage 306.156 MB -> 90.414 MB. [2026-01-10T07:51:38.927Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:51:47.963Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:51:56.961Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:52:04.375Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:52:08.245Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:52:13.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:52:17.956Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:52:21.855Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:52:22.222Z] 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. [2026-01-10T07:52:22.636Z] The best model improves the baseline by 14.52%. [2026-01-10T07:52:22.636Z] Top recommended movies for user id 72: [2026-01-10T07:52:22.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:52:22.636Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:52:22.636Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:52:22.636Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:52:22.636Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:52:22.636Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (52923.917 ms) ====== [2026-01-10T07:52:22.636Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T07:52:23.015Z] GC before operation: completed in 110.665 ms, heap usage 287.371 MB -> 92.588 MB. [2026-01-10T07:52:32.046Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:52:39.455Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:52:48.514Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:52:55.887Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:53:00.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:53:04.638Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:53:10.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:53:14.559Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:53:14.559Z] 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. [2026-01-10T07:53:14.559Z] The best model improves the baseline by 14.52%. [2026-01-10T07:53:14.977Z] Top recommended movies for user id 72: [2026-01-10T07:53:14.977Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:53:14.977Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:53:14.977Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:53:14.977Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:53:14.977Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:53:14.977Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (51962.128 ms) ====== [2026-01-10T07:53:14.977Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T07:53:14.977Z] GC before operation: completed in 103.870 ms, heap usage 191.241 MB -> 92.646 MB. [2026-01-10T07:53:22.381Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:53:31.439Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:53:38.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:53:46.289Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:53:51.147Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:53:55.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:53:59.905Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:54:03.795Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:54:04.170Z] 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. [2026-01-10T07:54:04.170Z] The best model improves the baseline by 14.52%. [2026-01-10T07:54:04.658Z] Top recommended movies for user id 72: [2026-01-10T07:54:04.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:54:04.658Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:54:04.658Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:54:04.658Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:54:04.658Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:54:04.658Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (49689.019 ms) ====== [2026-01-10T07:54:04.658Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T07:54:04.658Z] GC before operation: completed in 105.095 ms, heap usage 123.408 MB -> 89.929 MB. [2026-01-10T07:54:13.663Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:54:21.064Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:54:28.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:54:35.884Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:54:40.797Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:54:44.684Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:54:49.581Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:54:54.445Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:54:54.445Z] 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. [2026-01-10T07:54:54.445Z] The best model improves the baseline by 14.52%. [2026-01-10T07:54:54.806Z] Top recommended movies for user id 72: [2026-01-10T07:54:54.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:54:54.806Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:54:54.806Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:54:54.806Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:54:54.806Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:54:54.806Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (50058.973 ms) ====== [2026-01-10T07:54:54.806Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T07:54:54.806Z] GC before operation: completed in 110.407 ms, heap usage 480.396 MB -> 90.684 MB. [2026-01-10T07:55:02.232Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:55:09.625Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:55:18.686Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:55:27.773Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:55:31.624Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:55:35.531Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:55:40.422Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:55:45.300Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:55:45.300Z] 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. [2026-01-10T07:55:45.300Z] The best model improves the baseline by 14.52%. [2026-01-10T07:55:45.728Z] Top recommended movies for user id 72: [2026-01-10T07:55:45.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:55:45.728Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:55:45.728Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:55:45.728Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:55:45.728Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:55:45.728Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (50972.502 ms) ====== [2026-01-10T07:55:45.728Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T07:55:46.138Z] GC before operation: completed in 105.232 ms, heap usage 245.213 MB -> 90.413 MB. [2026-01-10T07:55:55.193Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:56:04.235Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:56:11.687Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:56:19.090Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:56:23.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:56:27.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:56:33.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:56:37.746Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:56:38.197Z] 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. [2026-01-10T07:56:38.197Z] The best model improves the baseline by 14.52%. [2026-01-10T07:56:38.197Z] Top recommended movies for user id 72: [2026-01-10T07:56:38.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:56:38.197Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:56:38.197Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:56:38.197Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:56:38.197Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:56:38.197Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (52362.785 ms) ====== [2026-01-10T07:56:38.197Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T07:56:38.569Z] GC before operation: completed in 115.509 ms, heap usage 227.877 MB -> 90.251 MB. [2026-01-10T07:56:46.002Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:56:55.041Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:57:04.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:57:10.110Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:57:14.958Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:57:18.848Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:57:23.718Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:57:27.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:57:27.957Z] 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. [2026-01-10T07:57:27.957Z] The best model improves the baseline by 14.52%. [2026-01-10T07:57:28.352Z] Top recommended movies for user id 72: [2026-01-10T07:57:28.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:57:28.352Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:57:28.352Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:57:28.352Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:57:28.352Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:57:28.352Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (49927.710 ms) ====== [2026-01-10T07:57:28.352Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T07:57:28.352Z] GC before operation: completed in 112.308 ms, heap usage 681.511 MB -> 98.345 MB. [2026-01-10T07:57:37.426Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:57:44.832Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:57:53.845Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:58:01.326Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:58:05.221Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:58:10.129Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:58:15.006Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:58:19.962Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:58:19.962Z] 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. [2026-01-10T07:58:19.962Z] The best model improves the baseline by 14.52%. [2026-01-10T07:58:20.367Z] Top recommended movies for user id 72: [2026-01-10T07:58:20.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:58:20.367Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:58:20.367Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:58:20.367Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:58:20.367Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:58:20.367Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (51617.286 ms) ====== [2026-01-10T07:58:20.367Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T07:58:20.367Z] GC before operation: completed in 108.108 ms, heap usage 228.613 MB -> 90.303 MB. [2026-01-10T07:58:27.770Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:58:35.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:58:44.208Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:58:51.614Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:58:55.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:59:00.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:59:05.207Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:59:09.094Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:59:09.094Z] 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. [2026-01-10T07:59:09.094Z] The best model improves the baseline by 14.52%. [2026-01-10T07:59:09.465Z] Top recommended movies for user id 72: [2026-01-10T07:59:09.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T07:59:09.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T07:59:09.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T07:59:09.465Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T07:59:09.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T07:59:09.465Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (49318.563 ms) ====== [2026-01-10T07:59:09.465Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T07:59:09.465Z] GC before operation: completed in 104.696 ms, heap usage 721.423 MB -> 94.336 MB. [2026-01-10T07:59:18.524Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T07:59:25.936Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T07:59:35.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T07:59:41.052Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T07:59:44.960Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T07:59:49.821Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T07:59:54.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T07:59:58.571Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T07:59:59.785Z] 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. [2026-01-10T07:59:59.785Z] The best model improves the baseline by 14.52%. [2026-01-10T08:00:00.240Z] Top recommended movies for user id 72: [2026-01-10T08:00:00.240Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T08:00:00.240Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T08:00:00.240Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T08:00:00.240Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T08:00:00.240Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T08:00:00.240Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50403.441 ms) ====== [2026-01-10T08:00:00.240Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T08:00:00.240Z] GC before operation: completed in 114.162 ms, heap usage 499.558 MB -> 90.697 MB. [2026-01-10T08:00:07.705Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T08:00:15.180Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T08:00:24.246Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T08:00:31.660Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T08:00:36.525Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T08:00:40.488Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T08:00:45.370Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T08:00:50.252Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T08:00:50.252Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T08:00:50.252Z] The best model improves the baseline by 14.52%. [2026-01-10T08:00:50.635Z] Top recommended movies for user id 72: [2026-01-10T08:00:50.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T08:00:50.635Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T08:00:50.635Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T08:00:50.635Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T08:00:50.635Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T08:00:50.635Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (50571.763 ms) ====== [2026-01-10T08:00:50.635Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T08:00:50.635Z] GC before operation: completed in 107.928 ms, heap usage 165.127 MB -> 93.556 MB. [2026-01-10T08:00:59.680Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T08:01:07.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T08:01:16.201Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T08:01:23.611Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T08:01:27.487Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T08:01:31.428Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T08:01:37.436Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T08:01:41.318Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T08:01:41.700Z] 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. [2026-01-10T08:01:41.700Z] The best model improves the baseline by 14.52%. [2026-01-10T08:01:41.700Z] Top recommended movies for user id 72: [2026-01-10T08:01:41.700Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T08:01:41.700Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T08:01:41.700Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T08:01:41.700Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T08:01:41.700Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T08:01:41.700Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (51041.256 ms) ====== [2026-01-10T08:01:42.451Z] ----------------------------------- [2026-01-10T08:01:42.451Z] renaissance-movie-lens_0_PASSED [2026-01-10T08:01:42.451Z] ----------------------------------- [2026-01-10T08:01:42.790Z] [2026-01-10T08:01:42.790Z] TEST TEARDOWN: [2026-01-10T08:01:42.790Z] Nothing to be done for teardown. [2026-01-10T08:01:43.128Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 08:01:42 2026 Epoch Time (ms): 1768032102832