[2025-11-19T22:19:26.168Z] Running test renaissance-movie-lens_0 ... [2025-11-19T22:19:26.168Z] =============================================== [2025-11-19T22:19:26.168Z] renaissance-movie-lens_0 Start Time: Wed Nov 19 17:19:25 2025 Epoch Time (ms): 1763590765930 [2025-11-19T22:19:26.168Z] variation: NoOptions [2025-11-19T22:19:26.168Z] JVM_OPTIONS: [2025-11-19T22:19:26.168Z] { \ [2025-11-19T22:19:26.168Z] echo ""; echo "TEST SETUP:"; \ [2025-11-19T22:19:26.168Z] echo "Nothing to be done for setup."; \ [2025-11-19T22:19:26.168Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17635901321245/renaissance-movie-lens_0"; \ [2025-11-19T22:19:26.168Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17635901321245/renaissance-movie-lens_0"; \ [2025-11-19T22:19:26.168Z] echo ""; echo "TESTING:"; \ [2025-11-19T22:19:26.168Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17635901321245/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-19T22:19:26.168Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17635901321245/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-19T22:19:26.168Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-19T22:19:26.168Z] echo "Nothing to be done for teardown."; \ [2025-11-19T22:19:26.168Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17635901321245/TestTargetResult"; [2025-11-19T22:19:26.168Z] [2025-11-19T22:19:26.168Z] TEST SETUP: [2025-11-19T22:19:26.168Z] Nothing to be done for setup. [2025-11-19T22:19:26.168Z] [2025-11-19T22:19:26.168Z] TESTING: [2025-11-19T22:19:30.256Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-19T22:19:34.296Z] 17:19:33.470 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. [2025-11-19T22:19:34.872Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-19T22:19:34.872Z] Training: 60056, validation: 20285, test: 19854 [2025-11-19T22:19:34.872Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-19T22:19:34.872Z] GC before operation: completed in 82.976 ms, heap usage 407.363 MB -> 76.153 MB. [2025-11-19T22:19:38.032Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:19:40.485Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:19:42.285Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:19:44.718Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:19:45.495Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:19:46.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:19:47.591Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:19:48.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:19:48.860Z] 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. [2025-11-19T22:19:48.860Z] The best model improves the baseline by 14.52%. [2025-11-19T22:19:49.237Z] Top recommended movies for user id 72: [2025-11-19T22:19:49.237Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:19:49.237Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:19:49.237Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:19:49.237Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:19:49.237Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:19:49.237Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14148.826 ms) ====== [2025-11-19T22:19:49.237Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-19T22:19:49.237Z] GC before operation: completed in 81.679 ms, heap usage 169.134 MB -> 86.879 MB. [2025-11-19T22:19:51.034Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:19:52.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:19:54.799Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:19:56.131Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:19:57.429Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:19:58.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:19:59.504Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:20:00.308Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:20:00.308Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:20:00.308Z] The best model improves the baseline by 14.52%. [2025-11-19T22:20:00.681Z] Top recommended movies for user id 72: [2025-11-19T22:20:00.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:20:00.681Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:20:00.681Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:20:00.681Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:20:00.681Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:20:00.681Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (11295.319 ms) ====== [2025-11-19T22:20:00.681Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-19T22:20:00.681Z] GC before operation: completed in 79.594 ms, heap usage 206.136 MB -> 89.029 MB. [2025-11-19T22:20:02.534Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:20:03.819Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:20:05.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:20:07.497Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:20:08.289Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:20:09.067Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:20:10.310Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:20:11.131Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:20:11.502Z] 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. [2025-11-19T22:20:11.502Z] The best model improves the baseline by 14.52%. [2025-11-19T22:20:11.502Z] Top recommended movies for user id 72: [2025-11-19T22:20:11.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:20:11.502Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:20:11.502Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:20:11.502Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:20:11.502Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:20:11.502Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10880.279 ms) ====== [2025-11-19T22:20:11.502Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-19T22:20:11.502Z] GC before operation: completed in 69.631 ms, heap usage 205.341 MB -> 89.692 MB. [2025-11-19T22:20:13.328Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:20:15.191Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:20:16.995Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:20:18.257Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:20:19.590Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:20:20.370Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:20:21.182Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:20:22.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:20:22.463Z] 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. [2025-11-19T22:20:22.463Z] The best model improves the baseline by 14.52%. [2025-11-19T22:20:22.463Z] Top recommended movies for user id 72: [2025-11-19T22:20:22.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:20:22.463Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:20:22.463Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:20:22.463Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:20:22.463Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:20:22.463Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (11053.381 ms) ====== [2025-11-19T22:20:22.463Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-19T22:20:22.845Z] GC before operation: completed in 73.327 ms, heap usage 215.864 MB -> 89.985 MB. [2025-11-19T22:20:24.667Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:20:26.537Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:20:28.361Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:20:30.220Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:20:31.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:20:31.835Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:20:33.137Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:20:33.915Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:20:33.915Z] 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. [2025-11-19T22:20:33.915Z] The best model improves the baseline by 14.52%. [2025-11-19T22:20:33.915Z] Top recommended movies for user id 72: [2025-11-19T22:20:33.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:20:33.915Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:20:33.915Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:20:33.915Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:20:33.915Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:20:33.915Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (11377.501 ms) ====== [2025-11-19T22:20:33.915Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-19T22:20:34.277Z] GC before operation: completed in 77.987 ms, heap usage 203.862 MB -> 90.019 MB. [2025-11-19T22:20:36.116Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:20:37.497Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:20:39.370Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:20:40.653Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:20:41.455Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:20:42.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:20:43.537Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:20:44.393Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:20:44.799Z] 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. [2025-11-19T22:20:44.799Z] The best model improves the baseline by 14.52%. [2025-11-19T22:20:44.799Z] Top recommended movies for user id 72: [2025-11-19T22:20:44.799Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:20:44.799Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:20:44.799Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:20:44.799Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:20:44.799Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:20:44.799Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10678.354 ms) ====== [2025-11-19T22:20:44.799Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-19T22:20:44.799Z] GC before operation: completed in 72.321 ms, heap usage 137.378 MB -> 90.292 MB. [2025-11-19T22:20:46.818Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:20:48.146Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:20:50.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:20:51.936Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:20:52.744Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:20:54.044Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:20:55.335Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:20:56.155Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:20:56.155Z] 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. [2025-11-19T22:20:56.155Z] The best model improves the baseline by 14.52%. [2025-11-19T22:20:56.542Z] Top recommended movies for user id 72: [2025-11-19T22:20:56.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:20:56.542Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:20:56.542Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:20:56.542Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:20:56.542Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:20:56.542Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (11536.922 ms) ====== [2025-11-19T22:20:56.542Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-19T22:20:56.542Z] GC before operation: completed in 74.639 ms, heap usage 470.687 MB -> 90.616 MB. [2025-11-19T22:20:58.364Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:20:59.627Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:21:01.489Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:21:03.395Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:21:04.216Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:21:05.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:21:06.297Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:21:07.088Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:21:07.088Z] 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. [2025-11-19T22:21:07.088Z] The best model improves the baseline by 14.52%. [2025-11-19T22:21:07.453Z] Top recommended movies for user id 72: [2025-11-19T22:21:07.453Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:21:07.453Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:21:07.453Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:21:07.453Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:21:07.453Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:21:07.453Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (10784.650 ms) ====== [2025-11-19T22:21:07.453Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-19T22:21:07.453Z] GC before operation: completed in 63.441 ms, heap usage 165.979 MB -> 90.505 MB. [2025-11-19T22:21:09.321Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:21:10.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:21:11.988Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:21:13.954Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:21:14.741Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:21:15.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:21:16.794Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:21:17.575Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:21:17.575Z] 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. [2025-11-19T22:21:17.575Z] The best model improves the baseline by 14.52%. [2025-11-19T22:21:17.937Z] Top recommended movies for user id 72: [2025-11-19T22:21:17.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:21:17.937Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:21:17.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:21:17.937Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:21:17.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:21:17.937Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (10493.591 ms) ====== [2025-11-19T22:21:17.937Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-19T22:21:17.937Z] GC before operation: completed in 70.741 ms, heap usage 494.875 MB -> 90.702 MB. [2025-11-19T22:21:19.753Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:21:21.570Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:21:23.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:21:24.647Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:21:25.442Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:21:26.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:21:27.513Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:21:28.822Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:21:28.822Z] 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. [2025-11-19T22:21:28.822Z] The best model improves the baseline by 14.52%. [2025-11-19T22:21:28.822Z] Top recommended movies for user id 72: [2025-11-19T22:21:28.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:21:28.822Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:21:28.822Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:21:28.822Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:21:28.822Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:21:28.822Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10862.013 ms) ====== [2025-11-19T22:21:28.822Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-19T22:21:28.822Z] GC before operation: completed in 83.925 ms, heap usage 170.263 MB -> 90.571 MB. [2025-11-19T22:21:30.627Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:21:31.888Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:21:33.701Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:21:35.028Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:21:35.818Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:21:37.080Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:21:37.902Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:21:38.710Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:21:39.088Z] 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. [2025-11-19T22:21:39.089Z] The best model improves the baseline by 14.52%. [2025-11-19T22:21:39.089Z] Top recommended movies for user id 72: [2025-11-19T22:21:39.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:21:39.089Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:21:39.089Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:21:39.089Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:21:39.089Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:21:39.089Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (10282.429 ms) ====== [2025-11-19T22:21:39.089Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-19T22:21:39.089Z] GC before operation: completed in 70.387 ms, heap usage 203.337 MB -> 90.287 MB. [2025-11-19T22:21:40.913Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:21:42.232Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:21:43.550Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:21:45.427Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:21:46.248Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:21:47.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:21:48.298Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:21:49.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:21:49.478Z] 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. [2025-11-19T22:21:49.478Z] The best model improves the baseline by 14.52%. [2025-11-19T22:21:49.478Z] Top recommended movies for user id 72: [2025-11-19T22:21:49.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:21:49.478Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:21:49.478Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:21:49.478Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:21:49.478Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:21:49.478Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10281.575 ms) ====== [2025-11-19T22:21:49.478Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-19T22:21:49.478Z] GC before operation: completed in 74.564 ms, heap usage 168.189 MB -> 90.561 MB. [2025-11-19T22:21:51.296Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:21:52.067Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:21:53.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:21:54.575Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:21:55.353Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:21:55.722Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:21:56.511Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:21:57.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:21:57.314Z] 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. [2025-11-19T22:21:57.314Z] The best model improves the baseline by 14.52%. [2025-11-19T22:21:57.314Z] Top recommended movies for user id 72: [2025-11-19T22:21:57.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:21:57.314Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:21:57.314Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:21:57.314Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:21:57.314Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:21:57.314Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (7901.352 ms) ====== [2025-11-19T22:21:57.314Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-19T22:21:57.675Z] GC before operation: completed in 60.414 ms, heap usage 518.380 MB -> 91.042 MB. [2025-11-19T22:21:58.933Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:21:59.728Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:22:01.053Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:22:02.376Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:22:03.163Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:22:03.540Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:22:04.346Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:22:05.131Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:22:05.131Z] 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. [2025-11-19T22:22:05.131Z] The best model improves the baseline by 14.52%. [2025-11-19T22:22:05.490Z] Top recommended movies for user id 72: [2025-11-19T22:22:05.490Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:22:05.490Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:22:05.490Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:22:05.490Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:22:05.490Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:22:05.490Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (7813.532 ms) ====== [2025-11-19T22:22:05.490Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-19T22:22:05.490Z] GC before operation: completed in 51.997 ms, heap usage 152.900 MB -> 90.352 MB. [2025-11-19T22:22:06.749Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:22:08.037Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:22:09.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:22:11.687Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:22:12.506Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:22:13.746Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:22:15.007Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:22:15.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:22:16.159Z] 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. [2025-11-19T22:22:16.159Z] The best model improves the baseline by 14.52%. [2025-11-19T22:22:16.159Z] Top recommended movies for user id 72: [2025-11-19T22:22:16.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:22:16.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:22:16.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:22:16.159Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:22:16.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:22:16.159Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (10750.978 ms) ====== [2025-11-19T22:22:16.159Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-19T22:22:16.159Z] GC before operation: completed in 62.893 ms, heap usage 198.783 MB -> 90.670 MB. [2025-11-19T22:22:17.966Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:22:19.820Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:22:21.099Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:22:22.933Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:22:23.746Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:22:24.996Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:22:26.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:22:27.107Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:22:27.107Z] 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. [2025-11-19T22:22:27.107Z] The best model improves the baseline by 14.52%. [2025-11-19T22:22:27.474Z] Top recommended movies for user id 72: [2025-11-19T22:22:27.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:22:27.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:22:27.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:22:27.474Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:22:27.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:22:27.474Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11097.985 ms) ====== [2025-11-19T22:22:27.474Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-19T22:22:27.474Z] GC before operation: completed in 66.266 ms, heap usage 532.016 MB -> 90.942 MB. [2025-11-19T22:22:29.339Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:22:30.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:22:31.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:22:33.098Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:22:33.880Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:22:34.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:22:35.478Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:22:36.280Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:22:36.280Z] 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. [2025-11-19T22:22:36.280Z] The best model improves the baseline by 14.52%. [2025-11-19T22:22:36.280Z] Top recommended movies for user id 72: [2025-11-19T22:22:36.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:22:36.280Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:22:36.280Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:22:36.280Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:22:36.280Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:22:36.280Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8913.348 ms) ====== [2025-11-19T22:22:36.280Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-19T22:22:36.280Z] GC before operation: completed in 57.188 ms, heap usage 365.494 MB -> 90.891 MB. [2025-11-19T22:22:37.559Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:22:39.393Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:22:40.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:22:42.513Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:22:43.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:22:44.085Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:22:45.348Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:22:46.130Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:22:46.130Z] 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. [2025-11-19T22:22:46.500Z] The best model improves the baseline by 14.52%. [2025-11-19T22:22:46.500Z] Top recommended movies for user id 72: [2025-11-19T22:22:46.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:22:46.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:22:46.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:22:46.500Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:22:46.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:22:46.500Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (10071.147 ms) ====== [2025-11-19T22:22:46.500Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-19T22:22:46.500Z] GC before operation: completed in 84.726 ms, heap usage 287.088 MB -> 90.517 MB. [2025-11-19T22:22:48.324Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:22:49.559Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:22:50.793Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:22:51.669Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:22:52.478Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:22:53.254Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:22:54.029Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:22:54.798Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:22:54.798Z] 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. [2025-11-19T22:22:54.798Z] The best model improves the baseline by 14.52%. [2025-11-19T22:22:54.798Z] Top recommended movies for user id 72: [2025-11-19T22:22:54.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:22:54.798Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:22:54.798Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:22:54.798Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:22:54.798Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:22:54.798Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (8312.844 ms) ====== [2025-11-19T22:22:54.798Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-19T22:22:54.798Z] GC before operation: completed in 45.013 ms, heap usage 257.193 MB -> 90.726 MB. [2025-11-19T22:22:56.029Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:22:56.790Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:22:58.032Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:22:58.825Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:22:59.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:22:59.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:23:00.769Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:23:01.572Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:23:01.572Z] 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. [2025-11-19T22:23:01.572Z] The best model improves the baseline by 14.52%. [2025-11-19T22:23:01.572Z] Top recommended movies for user id 72: [2025-11-19T22:23:01.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:23:01.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:23:01.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:23:01.572Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:23:01.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:23:01.572Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6663.110 ms) ====== [2025-11-19T22:23:01.933Z] ----------------------------------- [2025-11-19T22:23:01.933Z] renaissance-movie-lens_0_PASSED [2025-11-19T22:23:01.933Z] ----------------------------------- [2025-11-19T22:23:01.933Z] [2025-11-19T22:23:01.933Z] TEST TEARDOWN: [2025-11-19T22:23:01.933Z] Nothing to be done for teardown. [2025-11-19T22:23:01.933Z] renaissance-movie-lens_0 Finish Time: Wed Nov 19 17:23:01 2025 Epoch Time (ms): 1763590981668