[2026-02-14T22:57:33.723Z] Running test renaissance-movie-lens_0 ... [2026-02-14T22:57:33.723Z] =============================================== [2026-02-14T22:57:33.723Z] renaissance-movie-lens_0 Start Time: Sat Feb 14 22:57:32 2026 Epoch Time (ms): 1771109852819 [2026-02-14T22:57:33.723Z] variation: NoOptions [2026-02-14T22:57:33.723Z] JVM_OPTIONS: [2026-02-14T22:57:33.723Z] { \ [2026-02-14T22:57:33.723Z] echo ""; echo "TEST SETUP:"; \ [2026-02-14T22:57:33.723Z] echo "Nothing to be done for setup."; \ [2026-02-14T22:57:33.723Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17711090146591/renaissance-movie-lens_0"; \ [2026-02-14T22:57:33.723Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17711090146591/renaissance-movie-lens_0"; \ [2026-02-14T22:57:33.723Z] echo ""; echo "TESTING:"; \ [2026-02-14T22:57:33.723Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17711090146591/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-14T22:57:33.723Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17711090146591/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-14T22:57:33.723Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-14T22:57:33.723Z] echo "Nothing to be done for teardown."; \ [2026-02-14T22:57:33.724Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17711090146591/TestTargetResult"; [2026-02-14T22:57:33.724Z] [2026-02-14T22:57:33.724Z] TEST SETUP: [2026-02-14T22:57:33.724Z] Nothing to be done for setup. [2026-02-14T22:57:33.724Z] [2026-02-14T22:57:33.724Z] TESTING: [2026-02-14T22:57:33.724Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-14T22:57:33.724Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17711090146591/renaissance-movie-lens_0/launcher-225732-12402258567698918313/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-14T22:57:33.724Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-14T22:57:33.724Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-14T22:57:38.192Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-14T22:57:45.341Z] 22:57:44.686 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-14T22:57:47.457Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-14T22:57:47.457Z] Training: 60056, validation: 20285, test: 19854 [2026-02-14T22:57:47.457Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-14T22:57:47.457Z] GC before operation: completed in 119.835 ms, heap usage 274.831 MB -> 75.731 MB. [2026-02-14T22:57:53.241Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:57:55.354Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:57:58.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:58:01.906Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:58:03.933Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:58:05.360Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:58:06.403Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:58:08.517Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:58:08.517Z] 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. [2026-02-14T22:58:08.517Z] The best model improves the baseline by 14.52%. [2026-02-14T22:58:09.551Z] Top recommended movies for user id 72: [2026-02-14T22:58:09.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T22:58:09.551Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T22:58:09.551Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T22:58:09.551Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T22:58:09.551Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T22:58:09.551Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21263.101 ms) ====== [2026-02-14T22:58:09.551Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-14T22:58:09.551Z] GC before operation: completed in 168.480 ms, heap usage 299.345 MB -> 91.629 MB. [2026-02-14T22:58:11.683Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:58:14.951Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:58:17.070Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:58:19.195Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:58:21.312Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:58:22.359Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:58:24.475Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:58:25.506Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:58:25.506Z] 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. [2026-02-14T22:58:25.506Z] The best model improves the baseline by 14.52%. [2026-02-14T22:58:26.533Z] Top recommended movies for user id 72: [2026-02-14T22:58:26.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T22:58:26.533Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T22:58:26.533Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T22:58:26.533Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T22:58:26.533Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T22:58:26.533Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16777.359 ms) ====== [2026-02-14T22:58:26.533Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-14T22:58:26.533Z] GC before operation: completed in 146.523 ms, heap usage 199.863 MB -> 88.598 MB. [2026-02-14T22:58:28.645Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:58:30.839Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:58:32.959Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:58:35.068Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:58:37.193Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:58:38.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:58:39.483Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:58:41.609Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:58:41.609Z] 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. [2026-02-14T22:58:41.609Z] The best model improves the baseline by 14.52%. [2026-02-14T22:58:41.609Z] Top recommended movies for user id 72: [2026-02-14T22:58:41.609Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T22:58:41.609Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T22:58:41.609Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T22:58:41.609Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T22:58:41.609Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T22:58:41.609Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15368.212 ms) ====== [2026-02-14T22:58:41.609Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-14T22:58:41.609Z] GC before operation: completed in 147.060 ms, heap usage 215.091 MB -> 89.176 MB. [2026-02-14T22:58:43.726Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:58:45.861Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:58:47.982Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:58:50.109Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:58:52.273Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:58:53.301Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:58:54.337Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:58:56.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:58:56.477Z] 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. [2026-02-14T22:58:56.477Z] The best model improves the baseline by 14.52%. [2026-02-14T22:58:56.477Z] Top recommended movies for user id 72: [2026-02-14T22:58:56.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T22:58:56.477Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T22:58:56.477Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T22:58:56.477Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T22:58:56.477Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T22:58:56.477Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14767.443 ms) ====== [2026-02-14T22:58:56.477Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-14T22:58:56.477Z] GC before operation: completed in 124.120 ms, heap usage 255.584 MB -> 89.599 MB. [2026-02-14T22:58:58.601Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:59:00.861Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:59:04.120Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:59:06.231Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:59:08.631Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:59:09.843Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:59:10.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:59:11.897Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:59:12.925Z] 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. [2026-02-14T22:59:12.925Z] The best model improves the baseline by 14.52%. [2026-02-14T22:59:12.925Z] Top recommended movies for user id 72: [2026-02-14T22:59:12.925Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T22:59:12.925Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T22:59:12.925Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T22:59:12.925Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T22:59:12.925Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T22:59:12.925Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16188.625 ms) ====== [2026-02-14T22:59:12.925Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-14T22:59:12.925Z] GC before operation: completed in 118.681 ms, heap usage 402.485 MB -> 89.744 MB. [2026-02-14T22:59:15.040Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:59:17.147Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:59:20.407Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:59:22.526Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:59:23.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:59:24.604Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:59:26.720Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:59:27.775Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:59:27.775Z] 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. [2026-02-14T22:59:27.775Z] The best model improves the baseline by 14.52%. [2026-02-14T22:59:27.775Z] Top recommended movies for user id 72: [2026-02-14T22:59:27.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T22:59:27.775Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T22:59:27.775Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T22:59:27.775Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T22:59:27.775Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T22:59:27.775Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15334.084 ms) ====== [2026-02-14T22:59:27.775Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-14T22:59:28.806Z] GC before operation: completed in 123.115 ms, heap usage 410.189 MB -> 90.088 MB. [2026-02-14T22:59:30.923Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:59:33.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:59:35.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:59:36.227Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:59:38.354Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:59:39.392Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:59:40.436Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:59:41.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:59:41.477Z] 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. [2026-02-14T22:59:42.510Z] The best model improves the baseline by 14.52%. [2026-02-14T22:59:42.510Z] Top recommended movies for user id 72: [2026-02-14T22:59:42.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T22:59:42.510Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T22:59:42.510Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T22:59:42.510Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T22:59:42.510Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T22:59:42.510Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13792.373 ms) ====== [2026-02-14T22:59:42.510Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-14T22:59:42.510Z] GC before operation: completed in 162.956 ms, heap usage 266.917 MB -> 89.835 MB. [2026-02-14T22:59:44.641Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:59:46.759Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:59:48.878Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:59:51.000Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:59:52.033Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:59:53.083Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:59:54.187Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:59:55.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:59:56.313Z] 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. [2026-02-14T22:59:56.313Z] The best model improves the baseline by 14.52%. [2026-02-14T22:59:56.313Z] Top recommended movies for user id 72: [2026-02-14T22:59:56.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T22:59:56.313Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T22:59:56.313Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T22:59:56.313Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T22:59:56.313Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T22:59:56.313Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13810.428 ms) ====== [2026-02-14T22:59:56.313Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-14T22:59:56.313Z] GC before operation: completed in 149.133 ms, heap usage 180.784 MB -> 89.990 MB. [2026-02-14T22:59:58.510Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:00:00.676Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:00:03.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:00:04.211Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:00:06.470Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:00:07.817Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:00:10.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:00:10.031Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:00:10.031Z] 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. [2026-02-14T23:00:10.031Z] The best model improves the baseline by 14.52%. [2026-02-14T23:00:10.031Z] Top recommended movies for user id 72: [2026-02-14T23:00:10.031Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:00:10.031Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:00:10.031Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:00:10.031Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:00:10.031Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:00:10.031Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13986.972 ms) ====== [2026-02-14T23:00:10.031Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-14T23:00:10.031Z] GC before operation: completed in 114.481 ms, heap usage 377.803 MB -> 90.012 MB. [2026-02-14T23:00:12.325Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:00:14.718Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:00:17.096Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:00:19.356Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:00:20.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:00:21.741Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:00:24.146Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:00:25.208Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:00:25.208Z] 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. [2026-02-14T23:00:25.208Z] The best model improves the baseline by 14.52%. [2026-02-14T23:00:25.208Z] Top recommended movies for user id 72: [2026-02-14T23:00:25.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:00:25.208Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:00:25.208Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:00:25.208Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:00:25.208Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:00:25.208Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15036.603 ms) ====== [2026-02-14T23:00:25.208Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-14T23:00:25.208Z] GC before operation: completed in 116.015 ms, heap usage 444.943 MB -> 90.340 MB. [2026-02-14T23:00:27.767Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:00:30.115Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:00:32.378Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:00:34.700Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:00:35.758Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:00:36.827Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:00:39.006Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:00:40.105Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:00:41.157Z] 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. [2026-02-14T23:00:41.157Z] The best model improves the baseline by 14.52%. [2026-02-14T23:00:41.157Z] Top recommended movies for user id 72: [2026-02-14T23:00:41.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:00:41.157Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:00:41.157Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:00:41.157Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:00:41.157Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:00:41.157Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15320.297 ms) ====== [2026-02-14T23:00:41.157Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-14T23:00:41.157Z] GC before operation: completed in 129.565 ms, heap usage 159.871 MB -> 89.779 MB. [2026-02-14T23:00:43.350Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:00:45.538Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:00:47.782Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:00:49.911Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:00:52.068Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:00:53.097Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:00:54.159Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:00:56.340Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:00:56.340Z] 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. [2026-02-14T23:00:56.340Z] The best model improves the baseline by 14.52%. [2026-02-14T23:00:56.340Z] Top recommended movies for user id 72: [2026-02-14T23:00:56.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:00:56.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:00:56.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:00:56.340Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:00:56.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:00:56.340Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15356.386 ms) ====== [2026-02-14T23:00:56.340Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-14T23:00:56.340Z] GC before operation: completed in 136.810 ms, heap usage 369.610 MB -> 90.283 MB. [2026-02-14T23:00:58.666Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:01:00.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:01:03.148Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:01:05.350Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:01:07.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:01:08.628Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:01:09.676Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:01:11.834Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:01:11.834Z] 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. [2026-02-14T23:01:11.834Z] The best model improves the baseline by 14.52%. [2026-02-14T23:01:11.834Z] Top recommended movies for user id 72: [2026-02-14T23:01:11.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:01:11.834Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:01:11.834Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:01:11.834Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:01:11.834Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:01:11.834Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15438.268 ms) ====== [2026-02-14T23:01:11.834Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-14T23:01:11.834Z] GC before operation: completed in 153.159 ms, heap usage 293.438 MB -> 90.129 MB. [2026-02-14T23:01:14.014Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:01:20.879Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:01:20.879Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:01:21.924Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:01:21.924Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:01:22.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:01:24.141Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:01:25.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:01:26.262Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T23:01:26.262Z] The best model improves the baseline by 14.52%. [2026-02-14T23:01:26.262Z] Top recommended movies for user id 72: [2026-02-14T23:01:26.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:01:26.262Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:01:26.262Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:01:26.262Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:01:26.262Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:01:26.262Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13941.459 ms) ====== [2026-02-14T23:01:26.262Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-14T23:01:26.262Z] GC before operation: completed in 121.710 ms, heap usage 363.346 MB -> 90.162 MB. [2026-02-14T23:01:28.530Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:01:30.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:01:32.896Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:01:35.067Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:01:36.113Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:01:38.280Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:01:39.320Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:01:40.361Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:01:40.361Z] 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. [2026-02-14T23:01:40.361Z] The best model improves the baseline by 14.52%. [2026-02-14T23:01:41.422Z] Top recommended movies for user id 72: [2026-02-14T23:01:41.422Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:01:41.422Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:01:41.422Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:01:41.422Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:01:41.422Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:01:41.422Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14844.618 ms) ====== [2026-02-14T23:01:41.422Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-14T23:01:41.422Z] GC before operation: completed in 128.341 ms, heap usage 368.970 MB -> 90.355 MB. [2026-02-14T23:01:43.580Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:01:45.731Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:01:47.876Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:01:50.015Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:01:51.075Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:01:52.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:01:54.271Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:01:55.369Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:01:55.369Z] 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. [2026-02-14T23:01:55.369Z] The best model improves the baseline by 14.52%. [2026-02-14T23:01:56.498Z] Top recommended movies for user id 72: [2026-02-14T23:01:56.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:01:56.498Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:01:56.498Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:01:56.498Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:01:56.498Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:01:56.498Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14847.097 ms) ====== [2026-02-14T23:01:56.498Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-14T23:01:56.498Z] GC before operation: completed in 117.165 ms, heap usage 366.360 MB -> 90.196 MB. [2026-02-14T23:01:58.653Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:01:59.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:02:01.986Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:02:04.135Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:02:05.270Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:02:06.318Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:02:09.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:02:09.323Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:02:10.380Z] 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. [2026-02-14T23:02:10.380Z] The best model improves the baseline by 14.52%. [2026-02-14T23:02:10.380Z] Top recommended movies for user id 72: [2026-02-14T23:02:10.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:02:10.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:02:10.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:02:10.380Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:02:10.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:02:10.380Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13297.920 ms) ====== [2026-02-14T23:02:10.380Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-14T23:02:10.380Z] GC before operation: completed in 140.371 ms, heap usage 622.209 MB -> 93.794 MB. [2026-02-14T23:02:11.428Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:02:13.622Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:02:15.845Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:02:18.002Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:02:19.076Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:02:20.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:02:22.242Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:02:23.358Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:02:23.358Z] 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. [2026-02-14T23:02:23.358Z] The best model improves the baseline by 14.52%. [2026-02-14T23:02:23.358Z] Top recommended movies for user id 72: [2026-02-14T23:02:23.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:02:23.358Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:02:23.358Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:02:23.358Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:02:23.358Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:02:23.358Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13971.477 ms) ====== [2026-02-14T23:02:23.358Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-14T23:02:23.358Z] GC before operation: completed in 113.229 ms, heap usage 132.031 MB -> 89.770 MB. [2026-02-14T23:02:25.512Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:02:28.828Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:02:30.987Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:02:33.127Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:02:34.163Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:02:35.301Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:02:36.350Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:02:38.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:02:38.500Z] 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. [2026-02-14T23:02:38.500Z] The best model improves the baseline by 14.52%. [2026-02-14T23:02:38.500Z] Top recommended movies for user id 72: [2026-02-14T23:02:38.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:02:38.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:02:38.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:02:38.500Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:02:38.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:02:38.500Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14870.407 ms) ====== [2026-02-14T23:02:38.500Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-14T23:02:38.500Z] GC before operation: completed in 112.018 ms, heap usage 400.875 MB -> 90.241 MB. [2026-02-14T23:02:40.661Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:02:42.818Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:02:45.009Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:02:47.200Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:02:48.297Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:02:50.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:02:51.514Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:02:52.544Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:02:52.544Z] 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. [2026-02-14T23:02:53.587Z] The best model improves the baseline by 14.52%. [2026-02-14T23:02:53.587Z] Top recommended movies for user id 72: [2026-02-14T23:02:53.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:02:53.587Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:02:53.587Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:02:53.587Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:02:53.587Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:02:53.587Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14627.322 ms) ====== [2026-02-14T23:02:53.587Z] ----------------------------------- [2026-02-14T23:02:53.587Z] renaissance-movie-lens_0_PASSED [2026-02-14T23:02:53.587Z] ----------------------------------- [2026-02-14T23:02:53.587Z] [2026-02-14T23:02:53.587Z] TEST TEARDOWN: [2026-02-14T23:02:53.587Z] Nothing to be done for teardown. [2026-02-14T23:02:53.587Z] renaissance-movie-lens_0 Finish Time: Sat Feb 14 23:02:53 2026 Epoch Time (ms): 1771110173175