[2025-10-17T00:09:34.581Z] Running test renaissance-movie-lens_0 ... [2025-10-17T00:09:34.581Z] =============================================== [2025-10-17T00:09:34.581Z] renaissance-movie-lens_0 Start Time: Fri Oct 17 00:09:33 2025 Epoch Time (ms): 1760659773795 [2025-10-17T00:09:34.581Z] variation: NoOptions [2025-10-17T00:09:34.581Z] JVM_OPTIONS: [2025-10-17T00:09:34.581Z] { \ [2025-10-17T00:09:34.581Z] echo ""; echo "TEST SETUP:"; \ [2025-10-17T00:09:34.581Z] echo "Nothing to be done for setup."; \ [2025-10-17T00:09:34.581Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17606570901512/renaissance-movie-lens_0"; \ [2025-10-17T00:09:34.581Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17606570901512/renaissance-movie-lens_0"; \ [2025-10-17T00:09:34.581Z] echo ""; echo "TESTING:"; \ [2025-10-17T00:09:34.581Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17606570901512/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-17T00:09:34.581Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17606570901512/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-17T00:09:34.581Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-17T00:09:34.581Z] echo "Nothing to be done for teardown."; \ [2025-10-17T00:09:34.581Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17606570901512/TestTargetResult"; [2025-10-17T00:09:34.581Z] [2025-10-17T00:09:34.581Z] TEST SETUP: [2025-10-17T00:09:34.581Z] Nothing to be done for setup. [2025-10-17T00:09:34.581Z] [2025-10-17T00:09:34.581Z] TESTING: [2025-10-17T00:09:42.772Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-17T00:09:54.340Z] 00:09:54.068 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-10-17T00:09:58.690Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-17T00:09:58.690Z] Training: 60056, validation: 20285, test: 19854 [2025-10-17T00:09:58.690Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-17T00:09:59.650Z] GC before operation: completed in 208.450 ms, heap usage 159.452 MB -> 74.551 MB. [2025-10-17T00:10:10.177Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:10:15.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:10:22.327Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:10:27.714Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:10:30.739Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:10:33.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:10:36.820Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:10:39.858Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:10:39.858Z] 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. [2025-10-17T00:10:39.858Z] The best model improves the baseline by 14.52%. [2025-10-17T00:10:40.939Z] Top recommended movies for user id 72: [2025-10-17T00:10:40.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:10:40.939Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:10:40.939Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:10:40.939Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:10:40.939Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:10:40.939Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (41316.511 ms) ====== [2025-10-17T00:10:40.939Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-17T00:10:40.939Z] GC before operation: completed in 241.426 ms, heap usage 423.945 MB -> 85.796 MB. [2025-10-17T00:10:46.337Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:10:50.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:10:55.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:11:00.078Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:11:02.049Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:11:05.803Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:11:07.781Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:11:10.815Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:11:10.815Z] 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. [2025-10-17T00:11:10.815Z] The best model improves the baseline by 14.52%. [2025-10-17T00:11:11.776Z] Top recommended movies for user id 72: [2025-10-17T00:11:11.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:11:11.776Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:11:11.776Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:11:11.776Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:11:11.776Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:11:11.776Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (30703.268 ms) ====== [2025-10-17T00:11:11.776Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-17T00:11:11.776Z] GC before operation: completed in 260.814 ms, heap usage 200.403 MB -> 87.601 MB. [2025-10-17T00:11:15.953Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:11:21.448Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:11:25.652Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:11:29.832Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:11:31.819Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:11:33.997Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:11:37.064Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:11:39.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:11:40.208Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-17T00:11:40.208Z] The best model improves the baseline by 14.52%. [2025-10-17T00:11:40.208Z] Top recommended movies for user id 72: [2025-10-17T00:11:40.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:11:40.208Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:11:40.208Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:11:40.208Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:11:40.208Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:11:40.208Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (28389.035 ms) ====== [2025-10-17T00:11:40.208Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-17T00:11:40.208Z] GC before operation: completed in 255.547 ms, heap usage 531.528 MB -> 88.696 MB. [2025-10-17T00:11:44.380Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:11:49.801Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:11:53.991Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:11:58.174Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:12:01.946Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:12:03.909Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:12:05.878Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:12:12.753Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:12:12.753Z] 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. [2025-10-17T00:12:12.753Z] The best model improves the baseline by 14.52%. [2025-10-17T00:12:12.753Z] Top recommended movies for user id 72: [2025-10-17T00:12:12.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:12:12.753Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:12:12.753Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:12:12.753Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:12:12.753Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:12:12.753Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (29141.800 ms) ====== [2025-10-17T00:12:12.753Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-17T00:12:12.753Z] GC before operation: completed in 230.884 ms, heap usage 165.706 MB -> 88.545 MB. [2025-10-17T00:12:27.088Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:12:27.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:12:27.088Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:12:27.088Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:12:30.120Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:12:32.087Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:12:35.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:12:38.196Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:12:38.196Z] 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. [2025-10-17T00:12:38.196Z] The best model improves the baseline by 14.52%. [2025-10-17T00:12:38.196Z] Top recommended movies for user id 72: [2025-10-17T00:12:38.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:12:38.196Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:12:38.196Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:12:38.196Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:12:38.196Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:12:38.196Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (28589.236 ms) ====== [2025-10-17T00:12:38.196Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-17T00:12:38.196Z] GC before operation: completed in 236.517 ms, heap usage 340.834 MB -> 88.639 MB. [2025-10-17T00:12:43.629Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:12:47.814Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:12:51.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:12:56.170Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:12:58.130Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:13:01.165Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:13:03.134Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:13:06.168Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:13:06.168Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-17T00:13:06.168Z] The best model improves the baseline by 14.52%. [2025-10-17T00:13:06.168Z] Top recommended movies for user id 72: [2025-10-17T00:13:06.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:13:06.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:13:06.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:13:06.168Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:13:06.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:13:06.168Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (27791.216 ms) ====== [2025-10-17T00:13:06.168Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-17T00:13:07.123Z] GC before operation: completed in 229.403 ms, heap usage 110.872 MB -> 88.710 MB. [2025-10-17T00:13:10.153Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:13:15.172Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:13:19.337Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:13:23.509Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:13:25.471Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:13:27.436Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:13:30.460Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:13:32.419Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:13:33.376Z] 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. [2025-10-17T00:13:33.376Z] The best model improves the baseline by 14.52%. [2025-10-17T00:13:33.376Z] Top recommended movies for user id 72: [2025-10-17T00:13:33.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:13:33.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:13:33.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:13:33.376Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:13:33.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:13:33.376Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (26861.078 ms) ====== [2025-10-17T00:13:33.376Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-17T00:13:33.376Z] GC before operation: completed in 223.782 ms, heap usage 409.253 MB -> 88.994 MB. [2025-10-17T00:13:37.545Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:13:41.878Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:13:46.049Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:13:50.224Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:13:52.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:13:55.230Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:13:57.195Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:14:00.233Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:14:00.233Z] 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. [2025-10-17T00:14:00.233Z] The best model improves the baseline by 14.52%. [2025-10-17T00:14:00.233Z] Top recommended movies for user id 72: [2025-10-17T00:14:00.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:14:00.233Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:14:00.233Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:14:00.233Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:14:00.233Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:14:00.233Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26596.347 ms) ====== [2025-10-17T00:14:00.233Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-17T00:14:00.233Z] GC before operation: completed in 235.589 ms, heap usage 240.183 MB -> 88.994 MB. [2025-10-17T00:14:04.405Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:14:08.591Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:14:13.462Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:14:17.627Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:14:19.585Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:14:21.550Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:14:24.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:14:27.603Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:14:27.603Z] 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. [2025-10-17T00:14:27.603Z] The best model improves the baseline by 14.52%. [2025-10-17T00:14:27.603Z] Top recommended movies for user id 72: [2025-10-17T00:14:27.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:14:27.603Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:14:27.603Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:14:27.603Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:14:27.603Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:14:27.603Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (27106.083 ms) ====== [2025-10-17T00:14:27.603Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-17T00:14:27.603Z] GC before operation: completed in 232.234 ms, heap usage 137.221 MB -> 88.735 MB. [2025-10-17T00:14:31.780Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:14:35.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:14:40.126Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:14:44.300Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:14:46.262Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:14:49.293Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:14:51.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:14:53.232Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:14:54.186Z] 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. [2025-10-17T00:14:54.186Z] The best model improves the baseline by 14.52%. [2025-10-17T00:14:54.186Z] Top recommended movies for user id 72: [2025-10-17T00:14:54.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:14:54.186Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:14:54.186Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:14:54.186Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:14:54.186Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:14:54.186Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (26209.875 ms) ====== [2025-10-17T00:14:54.186Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-17T00:14:54.186Z] GC before operation: completed in 224.558 ms, heap usage 242.267 MB -> 89.018 MB. [2025-10-17T00:14:58.542Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:15:02.719Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:15:06.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:15:10.339Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:15:13.370Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:15:15.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:15:18.370Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:15:20.336Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:15:21.291Z] 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. [2025-10-17T00:15:21.291Z] The best model improves the baseline by 14.52%. [2025-10-17T00:15:21.291Z] Top recommended movies for user id 72: [2025-10-17T00:15:21.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:15:21.291Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:15:21.291Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:15:21.291Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:15:21.291Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:15:21.291Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (26782.972 ms) ====== [2025-10-17T00:15:21.291Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-17T00:15:21.291Z] GC before operation: completed in 214.832 ms, heap usage 429.316 MB -> 88.961 MB. [2025-10-17T00:15:25.494Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:15:29.665Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:15:33.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:15:37.998Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:15:39.969Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:15:43.011Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:15:44.974Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:15:48.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:15:48.001Z] 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. [2025-10-17T00:15:48.001Z] The best model improves the baseline by 14.52%. [2025-10-17T00:15:48.001Z] Top recommended movies for user id 72: [2025-10-17T00:15:48.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:15:48.001Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:15:48.001Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:15:48.001Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:15:48.001Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:15:48.001Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (26736.529 ms) ====== [2025-10-17T00:15:48.001Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-17T00:15:48.001Z] GC before operation: completed in 235.310 ms, heap usage 325.359 MB -> 89.105 MB. [2025-10-17T00:15:52.179Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:15:56.343Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:16:00.863Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:16:03.908Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:16:06.934Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:16:08.895Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:16:11.924Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:16:14.953Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:16:14.953Z] 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. [2025-10-17T00:16:14.953Z] The best model improves the baseline by 14.52%. [2025-10-17T00:16:14.953Z] Top recommended movies for user id 72: [2025-10-17T00:16:14.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:16:14.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:16:14.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:16:14.953Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:16:14.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:16:14.953Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (26647.604 ms) ====== [2025-10-17T00:16:14.953Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-17T00:16:14.953Z] GC before operation: completed in 236.946 ms, heap usage 145.007 MB -> 88.944 MB. [2025-10-17T00:16:19.121Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:16:23.296Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:16:27.475Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:16:31.646Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:16:34.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:16:36.651Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:16:39.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:16:41.746Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:16:41.746Z] 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. [2025-10-17T00:16:41.746Z] The best model improves the baseline by 14.52%. [2025-10-17T00:16:42.709Z] Top recommended movies for user id 72: [2025-10-17T00:16:42.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:16:42.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:16:42.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:16:42.710Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:16:42.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:16:42.710Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (27016.186 ms) ====== [2025-10-17T00:16:42.710Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-17T00:16:42.710Z] GC before operation: completed in 220.507 ms, heap usage 307.950 MB -> 89.018 MB. [2025-10-17T00:16:47.143Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:16:50.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:16:55.053Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:16:58.078Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:17:00.049Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:17:02.023Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:17:05.061Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:17:07.027Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:17:07.986Z] 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. [2025-10-17T00:17:07.986Z] The best model improves the baseline by 14.52%. [2025-10-17T00:17:07.986Z] Top recommended movies for user id 72: [2025-10-17T00:17:07.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:17:07.986Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:17:07.986Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:17:07.986Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:17:07.986Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:17:07.986Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (25328.106 ms) ====== [2025-10-17T00:17:07.986Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-17T00:17:07.986Z] GC before operation: completed in 257.322 ms, heap usage 337.182 MB -> 89.268 MB. [2025-10-17T00:17:12.159Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:17:16.524Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:17:20.774Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:17:23.810Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:17:25.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:17:28.806Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:17:31.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:17:33.823Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:17:33.823Z] 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. [2025-10-17T00:17:33.823Z] The best model improves the baseline by 14.52%. [2025-10-17T00:17:34.781Z] Top recommended movies for user id 72: [2025-10-17T00:17:34.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:17:34.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:17:34.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:17:34.781Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:17:34.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:17:34.781Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (26292.779 ms) ====== [2025-10-17T00:17:34.781Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-17T00:17:34.781Z] GC before operation: completed in 252.471 ms, heap usage 449.362 MB -> 89.185 MB. [2025-10-17T00:17:39.022Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:17:42.181Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:17:47.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:17:51.239Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:17:53.203Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:17:56.231Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:17:58.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:18:01.222Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:18:01.222Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-17T00:18:01.222Z] The best model improves the baseline by 14.52%. [2025-10-17T00:18:01.222Z] Top recommended movies for user id 72: [2025-10-17T00:18:01.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:18:01.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:18:01.222Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:18:01.222Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:18:01.222Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:18:01.222Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (26742.250 ms) ====== [2025-10-17T00:18:01.222Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-17T00:18:01.222Z] GC before operation: completed in 214.804 ms, heap usage 165.842 MB -> 89.010 MB. [2025-10-17T00:18:05.403Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:18:09.568Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:18:12.638Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:18:16.188Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:18:19.230Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:18:21.193Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:18:23.167Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:18:25.133Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:18:26.092Z] 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. [2025-10-17T00:18:26.092Z] The best model improves the baseline by 14.52%. [2025-10-17T00:18:26.092Z] Top recommended movies for user id 72: [2025-10-17T00:18:26.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:18:26.092Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:18:26.092Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:18:26.092Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:18:26.092Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:18:26.092Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24500.675 ms) ====== [2025-10-17T00:18:26.092Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-17T00:18:26.092Z] GC before operation: completed in 250.581 ms, heap usage 324.329 MB -> 89.043 MB. [2025-10-17T00:18:30.272Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:18:34.438Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:18:38.612Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:18:48.260Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:18:48.260Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:18:48.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:18:49.350Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:18:52.383Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:18:52.383Z] 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. [2025-10-17T00:18:52.383Z] The best model improves the baseline by 14.52%. [2025-10-17T00:18:52.383Z] Top recommended movies for user id 72: [2025-10-17T00:18:52.383Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:18:52.383Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:18:52.383Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:18:52.383Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:18:52.383Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:18:52.383Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (26241.325 ms) ====== [2025-10-17T00:18:52.383Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-17T00:18:52.383Z] GC before operation: completed in 223.944 ms, heap usage 347.347 MB -> 89.124 MB. [2025-10-17T00:18:56.560Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T00:19:00.736Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T00:19:04.916Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T00:19:09.088Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T00:19:12.128Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T00:19:14.097Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T00:19:17.131Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T00:19:19.102Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T00:19:19.102Z] 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. [2025-10-17T00:19:19.102Z] The best model improves the baseline by 14.52%. [2025-10-17T00:19:20.057Z] Top recommended movies for user id 72: [2025-10-17T00:19:20.057Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T00:19:20.057Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T00:19:20.057Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T00:19:20.057Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T00:19:20.057Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T00:19:20.057Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (26907.055 ms) ====== [2025-10-17T00:19:21.011Z] ----------------------------------- [2025-10-17T00:19:21.011Z] renaissance-movie-lens_0_PASSED [2025-10-17T00:19:21.011Z] ----------------------------------- [2025-10-17T00:19:21.011Z] [2025-10-17T00:19:21.011Z] TEST TEARDOWN: [2025-10-17T00:19:21.011Z] Nothing to be done for teardown. [2025-10-17T00:19:21.011Z] renaissance-movie-lens_0 Finish Time: Fri Oct 17 00:19:20 2025 Epoch Time (ms): 1760660360306