[2026-02-11T22:55:57.593Z] Running test renaissance-movie-lens_0 ... [2026-02-11T22:55:57.593Z] =============================================== [2026-02-11T22:55:57.593Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 16:55:56 2026 Epoch Time (ms): 1770850556407 [2026-02-11T22:55:57.593Z] variation: NoOptions [2026-02-11T22:55:57.593Z] JVM_OPTIONS: [2026-02-11T22:55:57.593Z] { \ [2026-02-11T22:55:57.593Z] echo ""; echo "TEST SETUP:"; \ [2026-02-11T22:55:57.593Z] echo "Nothing to be done for setup."; \ [2026-02-11T22:55:57.593Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17708492712181/renaissance-movie-lens_0"; \ [2026-02-11T22:55:57.593Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17708492712181/renaissance-movie-lens_0"; \ [2026-02-11T22:55:57.593Z] echo ""; echo "TESTING:"; \ [2026-02-11T22:55:57.593Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_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_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17708492712181/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-11T22:55:57.593Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17708492712181/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-11T22:55:57.593Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-11T22:55:57.593Z] echo "Nothing to be done for teardown."; \ [2026-02-11T22:55:57.593Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17708492712181/TestTargetResult"; [2026-02-11T22:55:57.593Z] [2026-02-11T22:55:57.593Z] TEST SETUP: [2026-02-11T22:55:57.593Z] Nothing to be done for setup. [2026-02-11T22:55:57.593Z] [2026-02-11T22:55:57.593Z] TESTING: [2026-02-11T22:56:02.518Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-11T22:56:11.598Z] 16:56:10.184 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-11T22:56:13.707Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-11T22:56:14.370Z] Training: 60056, validation: 20285, test: 19854 [2026-02-11T22:56:14.370Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-11T22:56:14.370Z] GC before operation: completed in 254.805 ms, heap usage 215.041 MB -> 75.907 MB. [2026-02-11T22:56:23.328Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T22:56:29.729Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T22:56:35.868Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T22:56:40.817Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T22:56:43.779Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T22:56:45.872Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T22:56:47.975Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T22:56:50.879Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T22:56:50.879Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T22:56:50.879Z] The best model improves the baseline by 14.34%. [2026-02-11T22:56:50.879Z] Top recommended movies for user id 72: [2026-02-11T22:56:50.879Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T22:56:50.879Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T22:56:50.879Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T22:56:50.879Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T22:56:50.879Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T22:56:50.879Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (36805.587 ms) ====== [2026-02-11T22:56:50.879Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-11T22:56:51.515Z] GC before operation: completed in 271.682 ms, heap usage 400.849 MB -> 97.447 MB. [2026-02-11T22:56:56.390Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T22:57:00.216Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T22:57:05.132Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T22:57:09.047Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T22:57:11.271Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T22:57:13.352Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T22:57:16.310Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T22:57:18.441Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T22:57:19.072Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T22:57:19.072Z] The best model improves the baseline by 14.34%. [2026-02-11T22:57:19.072Z] Top recommended movies for user id 72: [2026-02-11T22:57:19.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T22:57:19.072Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T22:57:19.072Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T22:57:19.072Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T22:57:19.072Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T22:57:19.072Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (27604.360 ms) ====== [2026-02-11T22:57:19.072Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-11T22:57:19.072Z] GC before operation: completed in 235.053 ms, heap usage 229.215 MB -> 87.930 MB. [2026-02-11T22:57:22.909Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T22:57:26.766Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T22:57:30.658Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T22:57:33.539Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T22:57:35.627Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T22:57:37.723Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T22:57:40.582Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T22:57:42.651Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T22:57:43.274Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T22:57:43.274Z] The best model improves the baseline by 14.34%. [2026-02-11T22:57:43.274Z] Top recommended movies for user id 72: [2026-02-11T22:57:43.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T22:57:43.274Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T22:57:43.274Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T22:57:43.274Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T22:57:43.274Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T22:57:43.274Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23980.341 ms) ====== [2026-02-11T22:57:43.274Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-11T22:57:43.274Z] GC before operation: completed in 200.323 ms, heap usage 190.346 MB -> 88.464 MB. [2026-02-11T22:57:47.089Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T22:57:49.997Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T22:57:53.921Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T22:57:57.750Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T22:58:00.761Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T22:58:02.883Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T22:58:05.007Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T22:58:08.083Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T22:58:08.083Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T22:58:08.083Z] The best model improves the baseline by 14.34%. [2026-02-11T22:58:08.083Z] Top recommended movies for user id 72: [2026-02-11T22:58:08.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T22:58:08.083Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T22:58:08.083Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T22:58:08.083Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T22:58:08.083Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T22:58:08.083Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24834.756 ms) ====== [2026-02-11T22:58:08.083Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-11T22:58:08.811Z] GC before operation: completed in 226.540 ms, heap usage 248.921 MB -> 88.945 MB. [2026-02-11T22:58:12.749Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T22:58:17.697Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T22:58:21.456Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T22:58:26.383Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T22:58:28.481Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T22:58:31.469Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T22:58:34.428Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T22:58:36.563Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T22:58:36.563Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T22:58:36.563Z] The best model improves the baseline by 14.34%. [2026-02-11T22:58:36.563Z] Top recommended movies for user id 72: [2026-02-11T22:58:36.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T22:58:36.563Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T22:58:36.563Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T22:58:36.563Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T22:58:36.563Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T22:58:36.563Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (28209.248 ms) ====== [2026-02-11T22:58:36.563Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-11T22:58:37.219Z] GC before operation: completed in 283.109 ms, heap usage 162.702 MB -> 88.752 MB. [2026-02-11T22:58:41.126Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T22:58:45.031Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T22:58:49.921Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T22:58:52.869Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T22:58:55.829Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T22:58:57.961Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T22:59:01.060Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T22:59:03.292Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T22:59:03.292Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T22:59:03.292Z] The best model improves the baseline by 14.34%. [2026-02-11T22:59:03.985Z] Top recommended movies for user id 72: [2026-02-11T22:59:03.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T22:59:03.985Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T22:59:03.985Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T22:59:03.985Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T22:59:03.985Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T22:59:03.985Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26806.382 ms) ====== [2026-02-11T22:59:03.985Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-11T22:59:03.985Z] GC before operation: completed in 236.789 ms, heap usage 203.549 MB -> 89.094 MB. [2026-02-11T22:59:09.101Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T22:59:12.979Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T22:59:22.289Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T22:59:22.289Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T22:59:23.729Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T22:59:25.869Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T22:59:28.871Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T22:59:30.979Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T22:59:30.979Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T22:59:30.979Z] The best model improves the baseline by 14.34%. [2026-02-11T22:59:30.979Z] Top recommended movies for user id 72: [2026-02-11T22:59:30.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T22:59:30.979Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T22:59:30.979Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T22:59:30.979Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T22:59:30.979Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T22:59:30.979Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (27079.286 ms) ====== [2026-02-11T22:59:30.979Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-11T22:59:31.642Z] GC before operation: completed in 195.548 ms, heap usage 355.926 MB -> 89.372 MB. [2026-02-11T22:59:35.667Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T22:59:39.539Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T22:59:44.449Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T22:59:47.360Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T22:59:50.278Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T22:59:52.370Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T22:59:55.332Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T22:59:57.465Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T22:59:58.152Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T22:59:58.152Z] The best model improves the baseline by 14.34%. [2026-02-11T22:59:58.152Z] Top recommended movies for user id 72: [2026-02-11T22:59:58.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T22:59:58.152Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T22:59:58.152Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T22:59:58.152Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T22:59:58.152Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T22:59:58.152Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26709.166 ms) ====== [2026-02-11T22:59:58.152Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-11T22:59:58.152Z] GC before operation: completed in 197.168 ms, heap usage 176.858 MB -> 89.278 MB. [2026-02-11T23:00:03.589Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:00:06.927Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:00:11.434Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:00:16.069Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:00:17.585Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:00:20.891Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:00:22.679Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:00:25.103Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:00:25.103Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:00:25.103Z] The best model improves the baseline by 14.34%. [2026-02-11T23:00:25.816Z] Top recommended movies for user id 72: [2026-02-11T23:00:25.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:00:25.816Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:00:25.816Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:00:25.816Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:00:25.816Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:00:25.816Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (27181.695 ms) ====== [2026-02-11T23:00:25.816Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-11T23:00:25.816Z] GC before operation: completed in 231.968 ms, heap usage 154.572 MB -> 89.124 MB. [2026-02-11T23:00:29.982Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:00:35.339Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:00:40.700Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:00:45.129Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:00:48.167Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:00:51.300Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:00:54.454Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:00:56.639Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:00:57.434Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:00:57.434Z] The best model improves the baseline by 14.34%. [2026-02-11T23:00:57.434Z] Top recommended movies for user id 72: [2026-02-11T23:00:57.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:00:57.434Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:00:57.434Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:00:57.434Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:00:57.434Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:00:57.434Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (31747.881 ms) ====== [2026-02-11T23:00:57.434Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-11T23:00:57.434Z] GC before operation: completed in 327.078 ms, heap usage 233.977 MB -> 89.440 MB. [2026-02-11T23:01:03.860Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:01:07.796Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:01:12.759Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:01:18.215Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:01:21.227Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:01:25.122Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:01:28.224Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:01:30.329Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:01:31.042Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:01:31.042Z] The best model improves the baseline by 14.34%. [2026-02-11T23:01:31.042Z] Top recommended movies for user id 72: [2026-02-11T23:01:31.042Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:01:31.042Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:01:31.042Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:01:31.042Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:01:31.042Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:01:31.042Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (33459.708 ms) ====== [2026-02-11T23:01:31.042Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-11T23:01:31.750Z] GC before operation: completed in 291.904 ms, heap usage 249.526 MB -> 89.216 MB. [2026-02-11T23:01:37.250Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:01:41.339Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:01:46.551Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:01:50.696Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:01:53.749Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:01:57.892Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:02:00.171Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:02:03.644Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:02:03.644Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:02:03.644Z] The best model improves the baseline by 14.34%. [2026-02-11T23:02:03.644Z] Top recommended movies for user id 72: [2026-02-11T23:02:03.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:02:03.644Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:02:03.644Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:02:03.644Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:02:03.644Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:02:03.644Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (32384.984 ms) ====== [2026-02-11T23:02:03.644Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-11T23:02:04.409Z] GC before operation: completed in 350.410 ms, heap usage 146.317 MB -> 89.234 MB. [2026-02-11T23:02:09.573Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:02:14.758Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:02:19.781Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:02:24.729Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:02:28.828Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:02:31.026Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:02:34.147Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:02:36.253Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:02:36.910Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:02:36.911Z] The best model improves the baseline by 14.34%. [2026-02-11T23:02:36.911Z] Top recommended movies for user id 72: [2026-02-11T23:02:36.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:02:36.911Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:02:36.911Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:02:36.911Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:02:36.911Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:02:36.911Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (32808.442 ms) ====== [2026-02-11T23:02:36.911Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-11T23:02:37.559Z] GC before operation: completed in 287.738 ms, heap usage 222.289 MB -> 89.430 MB. [2026-02-11T23:02:41.969Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:02:47.018Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:02:52.120Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:02:56.121Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:02:59.142Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:03:03.328Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:03:05.534Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:03:10.006Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:03:10.006Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:03:10.006Z] The best model improves the baseline by 14.34%. [2026-02-11T23:03:10.006Z] Top recommended movies for user id 72: [2026-02-11T23:03:10.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:03:10.006Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:03:10.006Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:03:10.006Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:03:10.006Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:03:10.006Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (32105.652 ms) ====== [2026-02-11T23:03:10.006Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-11T23:03:10.006Z] GC before operation: completed in 204.795 ms, heap usage 306.123 MB -> 89.438 MB. [2026-02-11T23:03:13.944Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:03:18.961Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:03:24.080Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:03:28.033Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:03:31.045Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:03:33.212Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:03:36.228Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:03:38.380Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:03:39.045Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:03:39.045Z] The best model improves the baseline by 14.34%. [2026-02-11T23:03:39.711Z] Top recommended movies for user id 72: [2026-02-11T23:03:39.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:03:39.711Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:03:39.711Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:03:39.711Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:03:39.711Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:03:39.711Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (29723.767 ms) ====== [2026-02-11T23:03:39.711Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-11T23:03:39.711Z] GC before operation: completed in 376.609 ms, heap usage 144.803 MB -> 89.374 MB. [2026-02-11T23:03:44.684Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:03:49.799Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:03:54.838Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:03:59.979Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:04:02.349Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:04:05.424Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:04:07.587Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:04:10.557Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:04:10.557Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:04:10.557Z] The best model improves the baseline by 14.34%. [2026-02-11T23:04:11.230Z] Top recommended movies for user id 72: [2026-02-11T23:04:11.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:04:11.230Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:04:11.230Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:04:11.230Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:04:11.230Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:04:11.230Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (31219.864 ms) ====== [2026-02-11T23:04:11.230Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-11T23:04:11.230Z] GC before operation: completed in 210.696 ms, heap usage 108.545 MB -> 89.521 MB. [2026-02-11T23:04:15.029Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:04:20.087Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:04:25.012Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:04:29.974Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:04:32.159Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:04:35.330Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:04:38.370Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:04:41.415Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:04:42.059Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:04:42.059Z] The best model improves the baseline by 14.34%. [2026-02-11T23:04:42.059Z] Top recommended movies for user id 72: [2026-02-11T23:04:42.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:04:42.059Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:04:42.059Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:04:42.059Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:04:42.059Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:04:42.059Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (31031.990 ms) ====== [2026-02-11T23:04:42.059Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-11T23:04:42.703Z] GC before operation: completed in 377.788 ms, heap usage 176.674 MB -> 89.326 MB. [2026-02-11T23:04:46.649Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:04:51.679Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:04:55.589Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:04:59.433Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:05:01.594Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:05:03.720Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:05:06.719Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:05:09.691Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:05:09.691Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:05:09.691Z] The best model improves the baseline by 14.34%. [2026-02-11T23:05:09.691Z] Top recommended movies for user id 72: [2026-02-11T23:05:09.691Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:05:09.691Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:05:09.691Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:05:09.691Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:05:09.691Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:05:09.691Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (27237.126 ms) ====== [2026-02-11T23:05:09.691Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-11T23:05:10.366Z] GC before operation: completed in 229.603 ms, heap usage 183.404 MB -> 89.204 MB. [2026-02-11T23:05:14.301Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:05:18.298Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:05:24.339Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:05:28.420Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:05:30.550Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:05:32.724Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:05:35.800Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:05:37.911Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:05:37.911Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:05:38.579Z] The best model improves the baseline by 14.34%. [2026-02-11T23:05:38.579Z] Top recommended movies for user id 72: [2026-02-11T23:05:38.579Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:05:38.579Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:05:38.579Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:05:38.579Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:05:38.579Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:05:38.579Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (28441.095 ms) ====== [2026-02-11T23:05:38.579Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-11T23:05:38.579Z] GC before operation: completed in 296.309 ms, heap usage 222.700 MB -> 89.699 MB. [2026-02-11T23:05:41.994Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:05:45.840Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:05:49.663Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:05:53.502Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:05:55.599Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:05:57.680Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:05:59.770Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:06:01.918Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:06:01.918Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:06:01.918Z] The best model improves the baseline by 14.34%. [2026-02-11T23:06:02.582Z] Top recommended movies for user id 72: [2026-02-11T23:06:02.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:06:02.582Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:06:02.582Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:06:02.582Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:06:02.582Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:06:02.582Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23584.594 ms) ====== [2026-02-11T23:06:03.220Z] ----------------------------------- [2026-02-11T23:06:03.220Z] renaissance-movie-lens_0_PASSED [2026-02-11T23:06:03.220Z] ----------------------------------- [2026-02-11T23:06:03.220Z] [2026-02-11T23:06:03.220Z] TEST TEARDOWN: [2026-02-11T23:06:03.220Z] Nothing to be done for teardown. [2026-02-11T23:06:03.220Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 17:06:02 2026 Epoch Time (ms): 1770851162723