[2025-11-20T04:10:18.910Z] Running test renaissance-movie-lens_0 ... [2025-11-20T04:10:18.910Z] =============================================== [2025-11-20T04:10:18.910Z] renaissance-movie-lens_0 Start Time: Thu Nov 20 04:10:18 2025 Epoch Time (ms): 1763611818112 [2025-11-20T04:10:18.910Z] variation: NoOptions [2025-11-20T04:10:18.910Z] JVM_OPTIONS: [2025-11-20T04:10:18.910Z] { \ [2025-11-20T04:10:18.910Z] echo ""; echo "TEST SETUP:"; \ [2025-11-20T04:10:18.910Z] echo "Nothing to be done for setup."; \ [2025-11-20T04:10:18.910Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17636098849891/renaissance-movie-lens_0"; \ [2025-11-20T04:10:18.910Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17636098849891/renaissance-movie-lens_0"; \ [2025-11-20T04:10:18.910Z] echo ""; echo "TESTING:"; \ [2025-11-20T04:10:18.910Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17636098849891/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-20T04:10:18.910Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17636098849891/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-20T04:10:18.910Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-20T04:10:18.910Z] echo "Nothing to be done for teardown."; \ [2025-11-20T04:10:18.910Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17636098849891/TestTargetResult"; [2025-11-20T04:10:18.910Z] [2025-11-20T04:10:18.910Z] TEST SETUP: [2025-11-20T04:10:18.910Z] Nothing to be done for setup. [2025-11-20T04:10:18.910Z] [2025-11-20T04:10:18.910Z] TESTING: [2025-11-20T04:10:25.664Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-20T04:10:33.874Z] 04:10:32.667 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-11-20T04:10:35.850Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-20T04:10:35.850Z] Training: 60056, validation: 20285, test: 19854 [2025-11-20T04:10:35.850Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-20T04:10:36.811Z] GC before operation: completed in 188.294 ms, heap usage 221.628 MB -> 74.407 MB. [2025-11-20T04:10:42.244Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:10:46.433Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:10:50.625Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:10:53.700Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:10:56.750Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:10:58.746Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:11:00.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:11:02.866Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:11:02.866Z] 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. [2025-11-20T04:11:02.866Z] The best model improves the baseline by 14.52%. [2025-11-20T04:11:02.866Z] Top recommended movies for user id 72: [2025-11-20T04:11:02.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:11:02.866Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:11:02.866Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:11:02.866Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:11:02.866Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:11:02.866Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26785.159 ms) ====== [2025-11-20T04:11:02.866Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-20T04:11:02.866Z] GC before operation: completed in 159.674 ms, heap usage 416.653 MB -> 85.649 MB. [2025-11-20T04:11:07.084Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:11:10.131Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:11:13.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:11:16.305Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:11:18.278Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:11:20.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:11:22.227Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:11:24.209Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:11:24.209Z] 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. [2025-11-20T04:11:24.209Z] The best model improves the baseline by 14.52%. [2025-11-20T04:11:25.171Z] Top recommended movies for user id 72: [2025-11-20T04:11:25.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:11:25.171Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:11:25.171Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:11:25.171Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:11:25.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:11:25.171Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21468.506 ms) ====== [2025-11-20T04:11:25.171Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-20T04:11:25.171Z] GC before operation: completed in 186.310 ms, heap usage 95.953 MB -> 87.288 MB. [2025-11-20T04:11:27.889Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:11:30.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:11:35.182Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:11:37.156Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:11:39.125Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:11:41.100Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:11:43.092Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:11:45.062Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:11:46.022Z] 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. [2025-11-20T04:11:46.022Z] The best model improves the baseline by 14.52%. [2025-11-20T04:11:46.022Z] Top recommended movies for user id 72: [2025-11-20T04:11:46.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:11:46.022Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:11:46.022Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:11:46.022Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:11:46.022Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:11:46.022Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20864.631 ms) ====== [2025-11-20T04:11:46.022Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-20T04:11:46.022Z] GC before operation: completed in 171.614 ms, heap usage 206.819 MB -> 88.134 MB. [2025-11-20T04:11:49.157Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:11:52.218Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:11:55.267Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:11:58.306Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:12:00.277Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:12:02.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:12:04.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:12:06.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:12:06.213Z] 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. [2025-11-20T04:12:06.213Z] The best model improves the baseline by 14.52%. [2025-11-20T04:12:07.176Z] Top recommended movies for user id 72: [2025-11-20T04:12:07.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:12:07.176Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:12:07.176Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:12:07.176Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:12:07.176Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:12:07.176Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20901.456 ms) ====== [2025-11-20T04:12:07.176Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-20T04:12:07.176Z] GC before operation: completed in 180.404 ms, heap usage 214.949 MB -> 88.418 MB. [2025-11-20T04:12:10.250Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:12:13.307Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:12:16.487Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:12:19.535Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:12:21.518Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:12:23.485Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:12:25.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:12:27.438Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:12:27.438Z] 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. [2025-11-20T04:12:27.438Z] The best model improves the baseline by 14.52%. [2025-11-20T04:12:27.438Z] Top recommended movies for user id 72: [2025-11-20T04:12:27.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:12:27.438Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:12:27.438Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:12:27.438Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:12:27.438Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:12:27.438Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20474.630 ms) ====== [2025-11-20T04:12:27.438Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-20T04:12:27.438Z] GC before operation: completed in 174.158 ms, heap usage 183.082 MB -> 88.350 MB. [2025-11-20T04:12:30.531Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:12:33.569Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:12:36.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:12:39.651Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:12:41.620Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:12:43.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:12:45.569Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:12:47.540Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:12:47.540Z] 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. [2025-11-20T04:12:47.540Z] The best model improves the baseline by 14.52%. [2025-11-20T04:12:47.540Z] Top recommended movies for user id 72: [2025-11-20T04:12:47.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:12:47.540Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:12:47.540Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:12:47.540Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:12:47.540Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:12:47.540Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19964.893 ms) ====== [2025-11-20T04:12:47.540Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-20T04:12:47.540Z] GC before operation: completed in 171.342 ms, heap usage 396.752 MB -> 88.939 MB. [2025-11-20T04:12:50.594Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:12:53.639Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:12:56.682Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:12:59.127Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:13:01.098Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:13:03.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:13:05.050Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:13:06.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:13:06.972Z] 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. [2025-11-20T04:13:06.972Z] The best model improves the baseline by 14.52%. [2025-11-20T04:13:06.972Z] Top recommended movies for user id 72: [2025-11-20T04:13:06.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:13:06.972Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:13:06.972Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:13:06.972Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:13:06.972Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:13:06.972Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19069.270 ms) ====== [2025-11-20T04:13:06.972Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-20T04:13:06.972Z] GC before operation: completed in 186.787 ms, heap usage 427.324 MB -> 88.879 MB. [2025-11-20T04:13:10.210Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:13:13.256Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:13:16.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:13:18.480Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:13:20.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:13:22.448Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:13:24.426Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:13:26.399Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:13:26.399Z] 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. [2025-11-20T04:13:26.399Z] The best model improves the baseline by 14.52%. [2025-11-20T04:13:26.399Z] Top recommended movies for user id 72: [2025-11-20T04:13:26.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:13:26.399Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:13:26.399Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:13:26.399Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:13:26.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:13:26.399Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19445.603 ms) ====== [2025-11-20T04:13:26.399Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-20T04:13:26.399Z] GC before operation: completed in 161.680 ms, heap usage 309.264 MB -> 89.003 MB. [2025-11-20T04:13:29.445Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:13:32.500Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:13:35.562Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:13:38.608Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:13:39.569Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:13:41.548Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:13:43.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:13:45.502Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:13:45.502Z] 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. [2025-11-20T04:13:45.502Z] The best model improves the baseline by 14.52%. [2025-11-20T04:13:45.502Z] Top recommended movies for user id 72: [2025-11-20T04:13:45.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:13:45.502Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:13:45.502Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:13:45.502Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:13:45.502Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:13:45.502Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18781.554 ms) ====== [2025-11-20T04:13:45.502Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-20T04:13:45.502Z] GC before operation: completed in 161.707 ms, heap usage 96.740 MB -> 88.496 MB. [2025-11-20T04:13:48.575Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:13:51.628Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:13:54.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:13:56.658Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:13:58.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:14:00.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:14:02.606Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:14:04.582Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:14:04.582Z] 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. [2025-11-20T04:14:04.582Z] The best model improves the baseline by 14.52%. [2025-11-20T04:14:05.543Z] Top recommended movies for user id 72: [2025-11-20T04:14:05.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:14:05.543Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:14:05.543Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:14:05.543Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:14:05.543Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:14:05.543Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19539.008 ms) ====== [2025-11-20T04:14:05.543Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-20T04:14:05.543Z] GC before operation: completed in 188.364 ms, heap usage 165.904 MB -> 88.881 MB. [2025-11-20T04:14:08.596Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:14:11.644Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:14:14.695Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:14:17.344Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:14:19.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:14:20.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:14:22.328Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:14:24.303Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:14:25.265Z] 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. [2025-11-20T04:14:25.265Z] The best model improves the baseline by 14.52%. [2025-11-20T04:14:25.265Z] Top recommended movies for user id 72: [2025-11-20T04:14:25.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:14:25.265Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:14:25.265Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:14:25.265Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:14:25.265Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:14:25.265Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19716.857 ms) ====== [2025-11-20T04:14:25.265Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-20T04:14:25.265Z] GC before operation: completed in 172.274 ms, heap usage 438.228 MB -> 88.951 MB. [2025-11-20T04:14:28.308Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:14:31.364Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:14:34.410Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:14:37.470Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:14:39.446Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:14:40.407Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:14:42.383Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:14:44.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:14:45.316Z] 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. [2025-11-20T04:14:45.316Z] The best model improves the baseline by 14.52%. [2025-11-20T04:14:45.316Z] Top recommended movies for user id 72: [2025-11-20T04:14:45.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:14:45.316Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:14:45.316Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:14:45.316Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:14:45.316Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:14:45.316Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19826.803 ms) ====== [2025-11-20T04:14:45.316Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-20T04:14:45.316Z] GC before operation: completed in 163.451 ms, heap usage 197.242 MB -> 88.826 MB. [2025-11-20T04:14:48.376Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:14:51.423Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:14:53.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:14:56.450Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:14:58.425Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:15:00.400Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:15:02.378Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:15:03.340Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:15:04.301Z] 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. [2025-11-20T04:15:04.301Z] The best model improves the baseline by 14.52%. [2025-11-20T04:15:04.301Z] Top recommended movies for user id 72: [2025-11-20T04:15:04.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:15:04.301Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:15:04.301Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:15:04.301Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:15:04.301Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:15:04.302Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18979.269 ms) ====== [2025-11-20T04:15:04.302Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-20T04:15:04.302Z] GC before operation: completed in 181.650 ms, heap usage 340.818 MB -> 89.086 MB. [2025-11-20T04:15:07.360Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:15:10.470Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:15:13.549Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:15:16.665Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:15:18.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:15:20.618Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:15:22.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:15:23.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:15:24.526Z] 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. [2025-11-20T04:15:24.526Z] The best model improves the baseline by 14.52%. [2025-11-20T04:15:24.526Z] Top recommended movies for user id 72: [2025-11-20T04:15:24.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:15:24.526Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:15:24.526Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:15:24.526Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:15:24.526Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:15:24.526Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20136.305 ms) ====== [2025-11-20T04:15:24.526Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-20T04:15:24.526Z] GC before operation: completed in 157.647 ms, heap usage 162.339 MB -> 88.743 MB. [2025-11-20T04:15:27.624Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:15:30.680Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:15:33.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:15:36.768Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:15:37.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:15:39.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:15:42.120Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:15:43.079Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:15:44.039Z] 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. [2025-11-20T04:15:44.039Z] The best model improves the baseline by 14.52%. [2025-11-20T04:15:44.039Z] Top recommended movies for user id 72: [2025-11-20T04:15:44.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:15:44.039Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:15:44.039Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:15:44.039Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:15:44.039Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:15:44.039Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19175.935 ms) ====== [2025-11-20T04:15:44.039Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-20T04:15:44.039Z] GC before operation: completed in 164.386 ms, heap usage 404.281 MB -> 89.222 MB. [2025-11-20T04:15:47.086Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:15:50.131Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:15:53.178Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:15:55.153Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:15:57.124Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:15:59.096Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:16:01.078Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:16:02.037Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:16:02.999Z] 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. [2025-11-20T04:16:02.999Z] The best model improves the baseline by 14.52%. [2025-11-20T04:16:02.999Z] Top recommended movies for user id 72: [2025-11-20T04:16:02.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:16:02.999Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:16:02.999Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:16:02.999Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:16:02.999Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:16:02.999Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18782.247 ms) ====== [2025-11-20T04:16:02.999Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-20T04:16:02.999Z] GC before operation: completed in 159.707 ms, heap usage 451.945 MB -> 89.163 MB. [2025-11-20T04:16:06.051Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:16:08.022Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:16:11.095Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:16:14.135Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:16:16.272Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:16:18.244Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:16:20.229Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:16:21.190Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:16:22.152Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:16:22.152Z] The best model improves the baseline by 14.52%. [2025-11-20T04:16:22.152Z] Top recommended movies for user id 72: [2025-11-20T04:16:22.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:16:22.152Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:16:22.152Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:16:22.152Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:16:22.152Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:16:22.152Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19083.953 ms) ====== [2025-11-20T04:16:22.152Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-20T04:16:22.152Z] GC before operation: completed in 174.990 ms, heap usage 421.442 MB -> 89.157 MB. [2025-11-20T04:16:25.196Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:16:28.254Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:16:31.301Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:16:34.350Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:16:35.313Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:16:37.284Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:16:39.256Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:16:41.226Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:16:41.226Z] 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. [2025-11-20T04:16:41.226Z] The best model improves the baseline by 14.52%. [2025-11-20T04:16:41.226Z] Top recommended movies for user id 72: [2025-11-20T04:16:41.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:16:41.226Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:16:41.226Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:16:41.226Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:16:41.226Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:16:41.226Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19253.819 ms) ====== [2025-11-20T04:16:41.226Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-20T04:16:42.188Z] GC before operation: completed in 180.115 ms, heap usage 395.256 MB -> 88.990 MB. [2025-11-20T04:16:44.158Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:16:47.203Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:16:50.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:16:53.287Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:16:55.262Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:16:57.235Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:16:59.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:17:00.172Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:17:01.138Z] 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. [2025-11-20T04:17:01.138Z] The best model improves the baseline by 14.52%. [2025-11-20T04:17:01.138Z] Top recommended movies for user id 72: [2025-11-20T04:17:01.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:17:01.138Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:17:01.138Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:17:01.138Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:17:01.138Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:17:01.138Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19400.629 ms) ====== [2025-11-20T04:17:01.138Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-20T04:17:01.138Z] GC before operation: completed in 183.151 ms, heap usage 128.464 MB -> 88.747 MB. [2025-11-20T04:17:04.240Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:17:06.940Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:17:09.980Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:17:13.019Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:17:14.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:17:16.018Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:17:17.989Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:17:19.962Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:17:19.962Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:17:19.962Z] The best model improves the baseline by 14.52%. [2025-11-20T04:17:19.962Z] Top recommended movies for user id 72: [2025-11-20T04:17:19.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:17:19.962Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:17:19.962Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:17:19.962Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:17:19.962Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:17:19.962Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19067.173 ms) ====== [2025-11-20T04:17:20.922Z] ----------------------------------- [2025-11-20T04:17:20.922Z] renaissance-movie-lens_0_PASSED [2025-11-20T04:17:20.922Z] ----------------------------------- [2025-11-20T04:17:20.922Z] [2025-11-20T04:17:20.922Z] TEST TEARDOWN: [2025-11-20T04:17:20.922Z] Nothing to be done for teardown. [2025-11-20T04:17:20.922Z] renaissance-movie-lens_0 Finish Time: Thu Nov 20 04:17:20 2025 Epoch Time (ms): 1763612240360