[2026-02-18T22:01:17.447Z] Running test renaissance-movie-lens_0 ... [2026-02-18T22:01:17.447Z] =============================================== [2026-02-18T22:01:17.447Z] renaissance-movie-lens_0 Start Time: Wed Feb 18 22:01:17 2026 Epoch Time (ms): 1771452077399 [2026-02-18T22:01:17.447Z] variation: NoOptions [2026-02-18T22:01:17.447Z] JVM_OPTIONS: [2026-02-18T22:01:17.447Z] { \ [2026-02-18T22:01:17.447Z] echo ""; echo "TEST SETUP:"; \ [2026-02-18T22:01:17.447Z] echo "Nothing to be done for setup."; \ [2026-02-18T22:01:17.447Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17714512483919/renaissance-movie-lens_0"; \ [2026-02-18T22:01:17.447Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17714512483919/renaissance-movie-lens_0"; \ [2026-02-18T22:01:17.447Z] echo ""; echo "TESTING:"; \ [2026-02-18T22:01:17.447Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_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_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17714512483919/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-18T22:01:17.447Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17714512483919/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-18T22:01:17.447Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-18T22:01:17.447Z] echo "Nothing to be done for teardown."; \ [2026-02-18T22:01:17.447Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17714512483919/TestTargetResult"; [2026-02-18T22:01:17.447Z] [2026-02-18T22:01:17.447Z] TEST SETUP: [2026-02-18T22:01:17.447Z] Nothing to be done for setup. [2026-02-18T22:01:17.447Z] [2026-02-18T22:01:17.447Z] TESTING: [2026-02-18T22:01:22.198Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-18T22:01:28.109Z] 22:01:27.058 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. [2026-02-18T22:01:29.774Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-18T22:01:30.482Z] Training: 60056, validation: 20285, test: 19854 [2026-02-18T22:01:30.482Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-18T22:01:30.482Z] GC before operation: completed in 143.022 ms, heap usage 302.993 MB -> 76.880 MB. [2026-02-18T22:01:37.938Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:01:41.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:01:45.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:01:47.772Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:01:49.424Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:01:51.109Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:01:55.868Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:01:57.018Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:01:57.346Z] 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. [2026-02-18T22:01:57.347Z] The best model improves the baseline by 14.52%. [2026-02-18T22:01:57.679Z] Top recommended movies for user id 72: [2026-02-18T22:01:57.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:01:57.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:01:57.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:01:57.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:01:57.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:01:57.679Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26983.595 ms) ====== [2026-02-18T22:01:57.679Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-18T22:01:57.679Z] GC before operation: completed in 168.239 ms, heap usage 454.917 MB -> 94.653 MB. [2026-02-18T22:01:59.936Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:02:02.895Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:02:04.557Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:02:06.859Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:02:08.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:02:09.690Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:02:10.836Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:02:11.981Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:02:12.308Z] 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. [2026-02-18T22:02:12.308Z] The best model improves the baseline by 14.52%. [2026-02-18T22:02:12.308Z] Top recommended movies for user id 72: [2026-02-18T22:02:12.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:02:12.308Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:02:12.308Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:02:12.308Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:02:12.308Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:02:12.308Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14738.668 ms) ====== [2026-02-18T22:02:12.308Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-18T22:02:12.643Z] GC before operation: completed in 140.233 ms, heap usage 243.051 MB -> 91.985 MB. [2026-02-18T22:02:14.904Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:02:16.562Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:02:18.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:02:21.119Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:02:22.289Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:02:23.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:02:25.212Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:02:25.937Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:02:26.275Z] 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. [2026-02-18T22:02:26.275Z] The best model improves the baseline by 14.52%. [2026-02-18T22:02:26.609Z] Top recommended movies for user id 72: [2026-02-18T22:02:26.609Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:02:26.609Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:02:26.609Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:02:26.609Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:02:26.609Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:02:26.609Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (13859.020 ms) ====== [2026-02-18T22:02:26.609Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-18T22:02:26.609Z] GC before operation: completed in 124.951 ms, heap usage 130.151 MB -> 93.608 MB. [2026-02-18T22:02:28.926Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:02:30.610Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:02:32.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:02:34.613Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:02:35.785Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:02:36.992Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:02:38.142Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:02:39.303Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:02:39.634Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:02:39.634Z] The best model improves the baseline by 14.52%. [2026-02-18T22:02:39.634Z] Top recommended movies for user id 72: [2026-02-18T22:02:39.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:02:39.634Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:02:39.634Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:02:39.634Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:02:39.634Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:02:39.634Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13216.955 ms) ====== [2026-02-18T22:02:39.634Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-18T22:02:39.965Z] GC before operation: completed in 133.751 ms, heap usage 877.127 MB -> 95.209 MB. [2026-02-18T22:02:42.299Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:02:44.605Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:02:46.880Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:02:49.197Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:02:50.352Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:02:51.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:02:52.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:02:53.790Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:02:54.117Z] 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. [2026-02-18T22:02:54.117Z] The best model improves the baseline by 14.52%. [2026-02-18T22:02:54.117Z] Top recommended movies for user id 72: [2026-02-18T22:02:54.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:02:54.117Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:02:54.117Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:02:54.117Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:02:54.117Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:02:54.117Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14307.793 ms) ====== [2026-02-18T22:02:54.117Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-18T22:02:54.444Z] GC before operation: completed in 136.225 ms, heap usage 461.357 MB -> 93.359 MB. [2026-02-18T22:02:56.692Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:02:58.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:03:01.294Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:03:02.954Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:03:04.120Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:03:05.276Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:03:06.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:03:08.168Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:03:08.168Z] 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. [2026-02-18T22:03:08.168Z] The best model improves the baseline by 14.52%. [2026-02-18T22:03:08.168Z] Top recommended movies for user id 72: [2026-02-18T22:03:08.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:03:08.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:03:08.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:03:08.168Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:03:08.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:03:08.168Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13760.093 ms) ====== [2026-02-18T22:03:08.168Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-18T22:03:08.168Z] GC before operation: completed in 120.562 ms, heap usage 151.289 MB -> 92.009 MB. [2026-02-18T22:03:11.133Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:03:12.790Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:03:14.491Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:03:16.739Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:03:17.445Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:03:18.588Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:03:19.743Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:03:20.891Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:03:20.891Z] 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. [2026-02-18T22:03:21.222Z] The best model improves the baseline by 14.52%. [2026-02-18T22:03:21.222Z] Top recommended movies for user id 72: [2026-02-18T22:03:21.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:03:21.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:03:21.222Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:03:21.222Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:03:21.222Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:03:21.222Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (12962.115 ms) ====== [2026-02-18T22:03:21.222Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-18T22:03:21.222Z] GC before operation: completed in 126.181 ms, heap usage 750.565 MB -> 95.035 MB. [2026-02-18T22:03:23.530Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:03:25.794Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:03:27.466Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:03:29.239Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:03:30.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:03:31.548Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:03:32.705Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:03:33.420Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:03:33.750Z] 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. [2026-02-18T22:03:33.750Z] The best model improves the baseline by 14.52%. [2026-02-18T22:03:33.750Z] Top recommended movies for user id 72: [2026-02-18T22:03:33.750Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:03:33.750Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:03:33.750Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:03:33.750Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:03:33.750Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:03:33.750Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (12497.893 ms) ====== [2026-02-18T22:03:33.750Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-18T22:03:34.111Z] GC before operation: completed in 121.071 ms, heap usage 883.497 MB -> 95.780 MB. [2026-02-18T22:03:35.797Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:03:37.459Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:03:39.754Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:03:41.413Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:03:42.561Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:03:43.276Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:03:44.931Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:03:45.634Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:03:45.962Z] 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. [2026-02-18T22:03:45.962Z] The best model improves the baseline by 14.52%. [2026-02-18T22:03:45.962Z] Top recommended movies for user id 72: [2026-02-18T22:03:45.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:03:45.962Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:03:45.962Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:03:45.962Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:03:45.962Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:03:45.962Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12059.722 ms) ====== [2026-02-18T22:03:45.962Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-18T22:03:45.962Z] GC before operation: completed in 110.358 ms, heap usage 832.342 MB -> 95.444 MB. [2026-02-18T22:03:48.217Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:03:49.896Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:03:51.554Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:03:53.211Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:03:54.466Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:03:55.640Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:03:56.779Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:03:57.920Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:03:57.920Z] 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. [2026-02-18T22:03:57.920Z] The best model improves the baseline by 14.52%. [2026-02-18T22:03:58.248Z] Top recommended movies for user id 72: [2026-02-18T22:03:58.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:03:58.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:03:58.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:03:58.248Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:03:58.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:03:58.248Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (12044.174 ms) ====== [2026-02-18T22:03:58.248Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-18T22:03:58.248Z] GC before operation: completed in 110.671 ms, heap usage 554.985 MB -> 94.810 MB. [2026-02-18T22:04:00.522Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:04:02.199Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:04:03.903Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:04:05.598Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:04:06.770Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:04:07.921Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:04:09.105Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:04:09.813Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:04:10.145Z] 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. [2026-02-18T22:04:10.145Z] The best model improves the baseline by 14.52%. [2026-02-18T22:04:10.481Z] Top recommended movies for user id 72: [2026-02-18T22:04:10.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:04:10.481Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:04:10.481Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:04:10.481Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:04:10.481Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:04:10.481Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (12053.066 ms) ====== [2026-02-18T22:04:10.481Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-18T22:04:10.481Z] GC before operation: completed in 114.493 ms, heap usage 184.746 MB -> 90.993 MB. [2026-02-18T22:04:12.141Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:04:14.389Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:04:16.041Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:04:17.733Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:04:18.876Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:04:20.024Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:04:20.730Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:04:21.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:04:22.228Z] 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. [2026-02-18T22:04:22.228Z] The best model improves the baseline by 14.52%. [2026-02-18T22:04:22.228Z] Top recommended movies for user id 72: [2026-02-18T22:04:22.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:04:22.228Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:04:22.228Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:04:22.228Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:04:22.228Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:04:22.228Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11879.141 ms) ====== [2026-02-18T22:04:22.228Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-18T22:04:22.597Z] GC before operation: completed in 107.669 ms, heap usage 480.115 MB -> 91.529 MB. [2026-02-18T22:04:24.252Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:04:25.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:04:28.179Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:04:29.836Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:04:31.028Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:04:32.180Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:04:33.337Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:04:34.480Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:04:34.480Z] 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. [2026-02-18T22:04:34.480Z] The best model improves the baseline by 14.52%. [2026-02-18T22:04:34.480Z] Top recommended movies for user id 72: [2026-02-18T22:04:34.480Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:04:34.480Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:04:34.480Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:04:34.480Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:04:34.480Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:04:34.480Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12119.222 ms) ====== [2026-02-18T22:04:34.480Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-18T22:04:34.807Z] GC before operation: completed in 117.919 ms, heap usage 799.720 MB -> 95.389 MB. [2026-02-18T22:04:36.515Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:04:38.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:04:40.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:04:42.125Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:04:43.266Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:04:43.980Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:04:45.656Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:04:46.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:04:46.728Z] 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. [2026-02-18T22:04:46.728Z] The best model improves the baseline by 14.52%. [2026-02-18T22:04:46.728Z] Top recommended movies for user id 72: [2026-02-18T22:04:46.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:04:46.728Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:04:46.728Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:04:46.728Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:04:46.728Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:04:46.728Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12107.632 ms) ====== [2026-02-18T22:04:46.728Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-18T22:04:47.077Z] GC before operation: completed in 120.447 ms, heap usage 131.943 MB -> 94.901 MB. [2026-02-18T22:04:48.864Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:04:50.527Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:04:52.242Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:04:54.486Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:04:55.191Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:04:56.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:04:57.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:04:58.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:04:58.633Z] 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. [2026-02-18T22:04:58.959Z] The best model improves the baseline by 14.52%. [2026-02-18T22:04:58.959Z] Top recommended movies for user id 72: [2026-02-18T22:04:58.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:04:58.959Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:04:58.959Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:04:58.959Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:04:58.959Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:04:58.959Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12031.168 ms) ====== [2026-02-18T22:04:58.959Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-18T22:04:58.959Z] GC before operation: completed in 108.951 ms, heap usage 276.551 MB -> 91.440 MB. [2026-02-18T22:05:00.671Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:05:02.992Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:05:04.714Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:05:06.382Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:05:07.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:05:08.669Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:05:09.820Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:05:11.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:05:11.012Z] 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. [2026-02-18T22:05:11.012Z] The best model improves the baseline by 14.52%. [2026-02-18T22:05:11.346Z] Top recommended movies for user id 72: [2026-02-18T22:05:11.346Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:05:11.346Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:05:11.346Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:05:11.346Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:05:11.346Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:05:11.346Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12205.469 ms) ====== [2026-02-18T22:05:11.346Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-18T22:05:11.346Z] GC before operation: completed in 113.773 ms, heap usage 447.646 MB -> 91.570 MB. [2026-02-18T22:05:13.010Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:05:15.301Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:05:17.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:05:18.683Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:05:19.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:05:21.043Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:05:21.771Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:05:22.941Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:05:23.273Z] 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. [2026-02-18T22:05:23.273Z] The best model improves the baseline by 14.52%. [2026-02-18T22:05:23.273Z] Top recommended movies for user id 72: [2026-02-18T22:05:23.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:05:23.273Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:05:23.273Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:05:23.273Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:05:23.273Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:05:23.273Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11938.041 ms) ====== [2026-02-18T22:05:23.273Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-18T22:05:23.273Z] GC before operation: completed in 113.285 ms, heap usage 541.091 MB -> 95.068 MB. [2026-02-18T22:05:25.576Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:05:27.270Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:05:28.990Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:05:30.708Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:05:31.889Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:05:33.081Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:05:33.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:05:35.013Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:05:35.013Z] 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. [2026-02-18T22:05:35.366Z] The best model improves the baseline by 14.52%. [2026-02-18T22:05:35.366Z] Top recommended movies for user id 72: [2026-02-18T22:05:35.366Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:05:35.366Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:05:35.366Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:05:35.366Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:05:35.366Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:05:35.366Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11872.807 ms) ====== [2026-02-18T22:05:35.366Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-18T22:05:35.366Z] GC before operation: completed in 117.414 ms, heap usage 746.888 MB -> 95.092 MB. [2026-02-18T22:05:37.130Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:05:38.824Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:05:41.144Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:05:42.390Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:05:43.555Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:05:44.715Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:05:45.867Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:05:47.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:05:47.029Z] 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. [2026-02-18T22:05:47.029Z] The best model improves the baseline by 14.52%. [2026-02-18T22:05:47.029Z] Top recommended movies for user id 72: [2026-02-18T22:05:47.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:05:47.029Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:05:47.029Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:05:47.029Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:05:47.029Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:05:47.029Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11774.396 ms) ====== [2026-02-18T22:05:47.029Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-18T22:05:47.357Z] GC before operation: completed in 112.556 ms, heap usage 241.800 MB -> 91.338 MB. [2026-02-18T22:05:49.609Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:05:51.309Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:05:53.567Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:05:54.716Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:05:55.868Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:05:57.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:05:58.218Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:05:59.364Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:05:59.364Z] 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. [2026-02-18T22:05:59.364Z] The best model improves the baseline by 14.52%. [2026-02-18T22:05:59.696Z] Top recommended movies for user id 72: [2026-02-18T22:05:59.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:05:59.696Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:05:59.696Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:05:59.696Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:05:59.696Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:05:59.696Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12250.113 ms) ====== [2026-02-18T22:06:00.023Z] ----------------------------------- [2026-02-18T22:06:00.023Z] renaissance-movie-lens_0_PASSED [2026-02-18T22:06:00.023Z] ----------------------------------- [2026-02-18T22:06:00.352Z] [2026-02-18T22:06:00.352Z] TEST TEARDOWN: [2026-02-18T22:06:00.352Z] Nothing to be done for teardown. [2026-02-18T22:06:00.352Z] renaissance-movie-lens_0 Finish Time: Wed Feb 18 22:06:00 2026 Epoch Time (ms): 1771452360075