[2025-12-03T22:36:27.973Z] Running test renaissance-movie-lens_0 ... [2025-12-03T22:36:27.973Z] =============================================== [2025-12-03T22:36:27.973Z] renaissance-movie-lens_0 Start Time: Wed Dec 3 17:36:27 2025 Epoch Time (ms): 1764801387915 [2025-12-03T22:36:27.973Z] variation: NoOptions [2025-12-03T22:36:27.973Z] JVM_OPTIONS: [2025-12-03T22:36:27.973Z] { \ [2025-12-03T22:36:27.973Z] echo ""; echo "TEST SETUP:"; \ [2025-12-03T22:36:27.973Z] echo "Nothing to be done for setup."; \ [2025-12-03T22:36:27.973Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17648007584522/renaissance-movie-lens_0"; \ [2025-12-03T22:36:27.973Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17648007584522/renaissance-movie-lens_0"; \ [2025-12-03T22:36:27.973Z] echo ""; echo "TESTING:"; \ [2025-12-03T22:36:27.973Z] "/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_17648007584522/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-03T22:36:27.973Z] 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_17648007584522/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-03T22:36:27.973Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-03T22:36:27.973Z] echo "Nothing to be done for teardown."; \ [2025-12-03T22:36:27.973Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17648007584522/TestTargetResult"; [2025-12-03T22:36:27.973Z] [2025-12-03T22:36:27.973Z] TEST SETUP: [2025-12-03T22:36:27.973Z] Nothing to be done for setup. [2025-12-03T22:36:27.973Z] [2025-12-03T22:36:27.973Z] TESTING: [2025-12-03T22:36:31.170Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-03T22:36:35.176Z] 17:36:34.908 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. [2025-12-03T22:36:36.444Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-03T22:36:36.445Z] Training: 60056, validation: 20285, test: 19854 [2025-12-03T22:36:36.445Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-03T22:36:36.445Z] GC before operation: completed in 79.951 ms, heap usage 226.802 MB -> 76.072 MB. [2025-12-03T22:36:39.700Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:36:40.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:36:42.171Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:36:43.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:36:44.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:36:45.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:36:45.917Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:36:46.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:36:46.690Z] 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. [2025-12-03T22:36:46.690Z] The best model improves the baseline by 14.52%. [2025-12-03T22:36:46.690Z] Top recommended movies for user id 72: [2025-12-03T22:36:46.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:36:46.690Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:36:46.690Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:36:46.690Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:36:46.690Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:36:46.690Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (10244.096 ms) ====== [2025-12-03T22:36:46.690Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-03T22:36:46.690Z] GC before operation: completed in 48.145 ms, heap usage 424.228 MB -> 87.003 MB. [2025-12-03T22:36:48.493Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:36:49.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:36:50.970Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:36:52.210Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:36:53.009Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:36:53.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:36:54.514Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:36:55.281Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:36:55.281Z] 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. [2025-12-03T22:36:55.281Z] The best model improves the baseline by 14.52%. [2025-12-03T22:36:55.736Z] Top recommended movies for user id 72: [2025-12-03T22:36:55.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:36:55.736Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:36:55.736Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:36:55.736Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:36:55.736Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:36:55.736Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8612.572 ms) ====== [2025-12-03T22:36:55.736Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-03T22:36:55.736Z] GC before operation: completed in 50.014 ms, heap usage 165.138 MB -> 88.945 MB. [2025-12-03T22:36:56.991Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:36:58.235Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:36:59.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:37:00.914Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:37:01.788Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:37:02.625Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:37:03.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:37:04.401Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:37:04.401Z] 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. [2025-12-03T22:37:04.401Z] The best model improves the baseline by 14.52%. [2025-12-03T22:37:04.401Z] Top recommended movies for user id 72: [2025-12-03T22:37:04.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:37:04.401Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:37:04.401Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:37:04.401Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:37:04.401Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:37:04.401Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (8906.657 ms) ====== [2025-12-03T22:37:04.401Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-03T22:37:04.401Z] GC before operation: completed in 67.351 ms, heap usage 249.051 MB -> 89.693 MB. [2025-12-03T22:37:06.249Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:37:08.118Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:37:09.772Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:37:11.102Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:37:12.352Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:37:13.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:37:14.414Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:37:15.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:37:15.571Z] 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. [2025-12-03T22:37:15.571Z] The best model improves the baseline by 14.52%. [2025-12-03T22:37:15.571Z] Top recommended movies for user id 72: [2025-12-03T22:37:15.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:37:15.571Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:37:15.571Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:37:15.571Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:37:15.571Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:37:15.571Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (11190.965 ms) ====== [2025-12-03T22:37:15.571Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-03T22:37:15.924Z] GC before operation: completed in 69.706 ms, heap usage 325.218 MB -> 90.118 MB. [2025-12-03T22:37:17.166Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:37:18.981Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:37:20.788Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:37:22.590Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:37:22.978Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:37:23.803Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:37:24.563Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:37:24.931Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:37:24.931Z] 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. [2025-12-03T22:37:24.931Z] The best model improves the baseline by 14.52%. [2025-12-03T22:37:25.286Z] Top recommended movies for user id 72: [2025-12-03T22:37:25.286Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:37:25.286Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:37:25.286Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:37:25.286Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:37:25.286Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:37:25.286Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9394.172 ms) ====== [2025-12-03T22:37:25.286Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-03T22:37:25.286Z] GC before operation: completed in 41.391 ms, heap usage 97.973 MB -> 89.706 MB. [2025-12-03T22:37:26.536Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:37:28.304Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:37:29.615Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:37:31.115Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:37:31.473Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:37:31.830Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:37:32.579Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:37:33.331Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:37:33.331Z] 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. [2025-12-03T22:37:33.331Z] The best model improves the baseline by 14.52%. [2025-12-03T22:37:33.331Z] Top recommended movies for user id 72: [2025-12-03T22:37:33.331Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:37:33.331Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:37:33.331Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:37:33.331Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:37:33.331Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:37:33.331Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8074.509 ms) ====== [2025-12-03T22:37:33.331Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-03T22:37:33.331Z] GC before operation: completed in 43.865 ms, heap usage 270.271 MB -> 90.359 MB. [2025-12-03T22:37:34.554Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:37:35.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:37:36.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:37:37.274Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:37:37.627Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:37:38.418Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:37:39.175Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:37:40.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:37:40.446Z] 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. [2025-12-03T22:37:40.446Z] The best model improves the baseline by 14.52%. [2025-12-03T22:37:40.446Z] Top recommended movies for user id 72: [2025-12-03T22:37:40.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:37:40.446Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:37:40.446Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:37:40.446Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:37:40.446Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:37:40.446Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7089.946 ms) ====== [2025-12-03T22:37:40.446Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-03T22:37:40.446Z] GC before operation: completed in 76.755 ms, heap usage 251.493 MB -> 90.228 MB. [2025-12-03T22:37:42.251Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:37:44.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:37:45.343Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:37:46.570Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:37:46.924Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:37:47.702Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:37:48.066Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:37:48.827Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:37:48.827Z] 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. [2025-12-03T22:37:48.827Z] The best model improves the baseline by 14.52%. [2025-12-03T22:37:48.827Z] Top recommended movies for user id 72: [2025-12-03T22:37:48.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:37:48.827Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:37:48.827Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:37:48.827Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:37:48.827Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:37:48.827Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8426.055 ms) ====== [2025-12-03T22:37:48.827Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-03T22:37:48.827Z] GC before operation: completed in 43.738 ms, heap usage 276.867 MB -> 90.695 MB. [2025-12-03T22:37:50.053Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:37:50.810Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:37:51.560Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:37:52.795Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:37:53.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:37:53.769Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:37:54.532Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:37:55.063Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:37:55.064Z] 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. [2025-12-03T22:37:55.064Z] The best model improves the baseline by 14.52%. [2025-12-03T22:37:55.064Z] Top recommended movies for user id 72: [2025-12-03T22:37:55.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:37:55.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:37:55.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:37:55.064Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:37:55.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:37:55.064Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6064.886 ms) ====== [2025-12-03T22:37:55.064Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-03T22:37:55.064Z] GC before operation: completed in 41.173 ms, heap usage 163.128 MB -> 90.259 MB. [2025-12-03T22:37:56.286Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:37:57.044Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:37:58.264Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:37:59.031Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:37:59.383Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:38:00.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:38:00.517Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:38:01.299Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:38:01.299Z] 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. [2025-12-03T22:38:01.299Z] The best model improves the baseline by 14.52%. [2025-12-03T22:38:01.299Z] Top recommended movies for user id 72: [2025-12-03T22:38:01.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:38:01.299Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:38:01.299Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:38:01.299Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:38:01.299Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:38:01.299Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6227.668 ms) ====== [2025-12-03T22:38:01.299Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-03T22:38:01.299Z] GC before operation: completed in 43.321 ms, heap usage 169.631 MB -> 91.371 MB. [2025-12-03T22:38:02.100Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:38:03.380Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:38:04.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:38:04.933Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:38:05.706Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:38:06.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:38:07.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:38:08.512Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:38:08.512Z] 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. [2025-12-03T22:38:08.512Z] The best model improves the baseline by 14.52%. [2025-12-03T22:38:08.916Z] Top recommended movies for user id 72: [2025-12-03T22:38:08.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:38:08.916Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:38:08.916Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:38:08.916Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:38:08.916Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:38:08.916Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7444.644 ms) ====== [2025-12-03T22:38:08.916Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-03T22:38:08.916Z] GC before operation: completed in 74.013 ms, heap usage 495.221 MB -> 90.733 MB. [2025-12-03T22:38:10.688Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:38:12.477Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:38:14.256Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:38:16.013Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:38:17.029Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:38:17.794Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:38:18.558Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:38:18.929Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:38:19.282Z] 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. [2025-12-03T22:38:19.282Z] The best model improves the baseline by 14.52%. [2025-12-03T22:38:19.282Z] Top recommended movies for user id 72: [2025-12-03T22:38:19.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:38:19.282Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:38:19.282Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:38:19.282Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:38:19.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:38:19.282Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10366.763 ms) ====== [2025-12-03T22:38:19.282Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-03T22:38:19.282Z] GC before operation: completed in 42.323 ms, heap usage 374.631 MB -> 90.690 MB. [2025-12-03T22:38:20.537Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:38:21.756Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:38:22.517Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:38:23.753Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:38:24.120Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:38:24.878Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:38:25.631Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:38:26.387Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:38:26.387Z] 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. [2025-12-03T22:38:26.387Z] The best model improves the baseline by 14.52%. [2025-12-03T22:38:26.387Z] Top recommended movies for user id 72: [2025-12-03T22:38:26.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:38:26.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:38:26.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:38:26.387Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:38:26.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:38:26.387Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (7172.880 ms) ====== [2025-12-03T22:38:26.387Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-03T22:38:26.387Z] GC before operation: completed in 49.631 ms, heap usage 451.751 MB -> 90.905 MB. [2025-12-03T22:38:27.610Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:38:28.843Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:38:30.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:38:31.988Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:38:32.746Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:38:33.102Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:38:33.865Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:38:34.631Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:38:34.631Z] 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. [2025-12-03T22:38:34.631Z] The best model improves the baseline by 14.52%. [2025-12-03T22:38:35.000Z] Top recommended movies for user id 72: [2025-12-03T22:38:35.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:38:35.000Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:38:35.000Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:38:35.000Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:38:35.000Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:38:35.000Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (8324.450 ms) ====== [2025-12-03T22:38:35.000Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-03T22:38:35.000Z] GC before operation: completed in 53.499 ms, heap usage 162.912 MB -> 90.297 MB. [2025-12-03T22:38:36.214Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:38:37.444Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:38:38.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:38:40.066Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:38:40.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:38:41.609Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:38:42.396Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:38:43.163Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:38:43.163Z] 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. [2025-12-03T22:38:43.163Z] The best model improves the baseline by 14.52%. [2025-12-03T22:38:43.163Z] Top recommended movies for user id 72: [2025-12-03T22:38:43.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:38:43.163Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:38:43.163Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:38:43.163Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:38:43.163Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:38:43.163Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8408.298 ms) ====== [2025-12-03T22:38:43.163Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-03T22:38:43.518Z] GC before operation: completed in 66.618 ms, heap usage 532.432 MB -> 91.036 MB. [2025-12-03T22:38:44.773Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:38:46.034Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:38:47.274Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:38:48.512Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:38:48.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:38:49.646Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:38:50.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:38:51.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:38:51.610Z] 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. [2025-12-03T22:38:51.610Z] The best model improves the baseline by 14.52%. [2025-12-03T22:38:51.610Z] Top recommended movies for user id 72: [2025-12-03T22:38:51.610Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:38:51.610Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:38:51.610Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:38:51.610Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:38:51.610Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:38:51.610Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (8259.630 ms) ====== [2025-12-03T22:38:51.610Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-03T22:38:51.610Z] GC before operation: completed in 64.068 ms, heap usage 493.423 MB -> 90.771 MB. [2025-12-03T22:38:53.418Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:38:54.676Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:38:56.462Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:38:57.248Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:38:58.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:38:59.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:39:00.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:39:01.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:39:01.468Z] 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. [2025-12-03T22:39:01.468Z] The best model improves the baseline by 14.52%. [2025-12-03T22:39:01.468Z] Top recommended movies for user id 72: [2025-12-03T22:39:01.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:39:01.468Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:39:01.468Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:39:01.468Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:39:01.468Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:39:01.468Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9731.405 ms) ====== [2025-12-03T22:39:01.468Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-03T22:39:01.468Z] GC before operation: completed in 81.418 ms, heap usage 366.368 MB -> 90.734 MB. [2025-12-03T22:39:02.713Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:39:03.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:39:05.179Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:39:06.414Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:39:07.181Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:39:07.968Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:39:09.220Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:39:10.135Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:39:10.135Z] 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. [2025-12-03T22:39:10.135Z] The best model improves the baseline by 14.52%. [2025-12-03T22:39:10.135Z] Top recommended movies for user id 72: [2025-12-03T22:39:10.135Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:39:10.135Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:39:10.135Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:39:10.135Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:39:10.135Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:39:10.135Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8651.774 ms) ====== [2025-12-03T22:39:10.135Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-03T22:39:10.135Z] GC before operation: completed in 57.531 ms, heap usage 417.862 MB -> 90.535 MB. [2025-12-03T22:39:11.961Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:39:13.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:39:14.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:39:16.766Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:39:17.613Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:39:18.848Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:39:20.078Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:39:20.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:39:21.724Z] 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. [2025-12-03T22:39:21.724Z] The best model improves the baseline by 14.52%. [2025-12-03T22:39:21.724Z] Top recommended movies for user id 72: [2025-12-03T22:39:21.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:39:21.724Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:39:21.724Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:39:21.724Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:39:21.724Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:39:21.724Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (10983.766 ms) ====== [2025-12-03T22:39:21.724Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-03T22:39:21.724Z] GC before operation: completed in 70.216 ms, heap usage 120.815 MB -> 90.333 MB. [2025-12-03T22:39:22.963Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T22:39:23.721Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T22:39:25.425Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T22:39:26.173Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T22:39:26.942Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T22:39:27.305Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T22:39:28.758Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T22:39:28.758Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T22:39:28.758Z] 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. [2025-12-03T22:39:28.758Z] The best model improves the baseline by 14.52%. [2025-12-03T22:39:29.111Z] Top recommended movies for user id 72: [2025-12-03T22:39:29.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T22:39:29.111Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T22:39:29.111Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T22:39:29.111Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T22:39:29.111Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T22:39:29.111Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (7732.589 ms) ====== [2025-12-03T22:39:29.111Z] ----------------------------------- [2025-12-03T22:39:29.111Z] renaissance-movie-lens_0_PASSED [2025-12-03T22:39:29.111Z] ----------------------------------- [2025-12-03T22:39:29.111Z] [2025-12-03T22:39:29.111Z] TEST TEARDOWN: [2025-12-03T22:39:29.111Z] Nothing to be done for teardown. [2025-12-03T22:39:29.111Z] renaissance-movie-lens_0 Finish Time: Wed Dec 3 17:39:29 2025 Epoch Time (ms): 1764801569075